international year of statistics | 2013

Katalog książekanglojęzycznych

STATYSTYKA

Amerykańskie Towarzystwo Statystyczne ogłosiło rok 2013 Międzynarodowym Rokiem Statystyki. Ogólnoświatowa akcja ma na celu uczczenie i docenienie osiągnięć nauk statystycznych. Przyłączyliśmy się do akcji promując najważniejsze książki z tej dziedziny.

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• statystyka dla inżynierów• statystyka finansowa i ekonometria• statystyka matematyczna• statystyka medyczna i biostatystyka• statystyka obliczeniowa• statystyka ogólna• statystyka w naukach społecznych

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1. Statystyka dla inżynierów ...................................... 3 2. Statystyka finansowa i ekonometria ...................... 7 3. Statystyka matematyczna ..................................... 22 4. Statystyka medyczna i biostatystyka ..................... 26 5. Statystyczna obliczeniowa .................................... 55 6. Statystyka ogólna ................................................. 66 7. Statystyka w naukach społecznych ....................... 95 8. Formularz zamówienia .......................................... 113 9. Kontakt ................................................................ 114

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STATYSTYKA

DLA INŻYNIERÓW

PRZEGLĄDAJ KSIĄŻKI

Statystyka dla inżynierów

4 www.abe.pl

Applications of Statistics and Probability in Civil Engineering

9780415669863 15.07.2011 Oprawa: twarda

£ 447,00

Michael Faber

Under the pressure of harsh environmental conditions and natural hazards, large parts of the world population are struggling to maintain their livelihoods. Population growth, increasing land utilization and shrinking natural resources have led to an increasing demand of improved efficiency of existing technologies and the development of new ones. Additionally, growing complexities of societal functionalities and interdependencies among infrastructures and urban habitats amplify consequences of malfunctions and failures. Malevolence, sustainable developments and climatic changes have more recently been added to the list of challenges. Over the last decades, substantial progress has been made in assessing and quantifying risks. However, with regard to the broader utilization of risk assessment as a means for societal strategic and operational planning, there is still a great need for further development. Applications of Statistics and Probability in Civil Engineering contains the proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP11, Zurich, Switzerland, 1-4 August 2011).

Taylor & Francis

Applied Statistics and Probability for Engineers

9780470505786 15.06.2010 Oprawa: miękka

£ 51,99

Douglas C. Montgomery

Montgomery and Runger's bestselling engineering statistics text provides a practical approach oriented to engineering as well as chemical and physical sciences. By providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers. With a focus on how statistical tools are integrated into the engineering problem-solving process, all major aspects of engineering statistics are covered. Developed with sponsorship from the National Science Foundation, this text incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions.

Wiley

Applied Statistics and Probability for Engineers

9780470888445 24.09.2010 Oprawa: miękka

£ 53,50


Montgomery and Runger's bestselling engineering statistics text provides a practical approach oriented to engineering as well as chemical and physical sciences. By providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers. With a focus on how statistical tools are integrated into the engineering problem-solving process, all major aspects of engineering statistics are covered. Developed with sponsorship from the National Science Foundation, this text incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions.

Wiley

Bayesian Logical Data Analysis for the Physical Sciences

9780521150125 20.05.2010 Oprawa: miękka

£ 36,99

Phil C. Gregory

Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches.

Cambridge University Press

Design and Analysis of Experiments 8E

9781118605240 26.12.2012 Oprawa: twarda

£ 146,00

Montgomery

The eighth edition of this best selling text continues to help senior under graduate students in engineering, business, and statistics-as well as working practitioners-to design and analyse experiments for improving the quality, efficiency and performance of working systems. The eighth edition of Design and Analysis of Experiments maintains its comprehensive coverage by including: new examples, exercises, and problems (including in the areas of biochemistry and biotechnology); new topics and problems in the area of response surface; new topics in nested and split-plot design; and the residual maximum likelihood method is now emphasized throughout the book. Continuing to place a strong focus on the use of the computer, this edition includes software examples taken from the four most dominant programs in the field: Design-Expert, Minitab, JMP, and SAS.

Wiley

Engineering Statistics

9780470646076 09.12.2011 Oprawa: miękka

£ 49,99


Montgomery, Runger, and Hubele provide modern coverage of engineering statistics, focusing on how statistical tools are integrated into the engineering problem-solving process. All major aspects of engineering statistics are covered, including descriptive statistics, probability and probability distributions, statistical test and confidence intervals for one and two samples, building regression models, designing and analyzing engineering experiments, and statistical process control. Developed with sponsorship from the National Science Foundation, this revision incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions.

Wiley


www.abe.pl 5

Engineering Statistics: Student Solutions Manual

9780470905302 04.04.2012 Oprawa: miękka

£ 44,95


Montgomery, Runger, and Hubele provide modern coverage of engineering statistics, focusing on how statistical tools are integrated into the engineering problem-solving process. All major aspects of engineering statistics are covered, including descriptive statistics, probability and probability distributions, statistical test and confidence intervals for one and two samples, building regression models, designing and analyzing engineering experiments, and statistical process control. Developed with sponsorship from the National Science Foundation, this revision incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions.

Wiley

Essentials of Probabilty & Statistics for Engineers & Scientists

9780321783738 27.12.2011 Oprawa: twarda

£ 98,99

Ronald E. Walpole

This text covers the essential topics needed for a fundamental understanding of basic statistics and its applications in the fields of engineering and the sciences. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. The authors assume one semester of differential and integral calculus as a prerequisite.

Pearson Education

Methods and Applications of Statistics in Engineering, Quality Control, and the Physical

9780470405086 27.04.2011 Oprawa: twarda

£ 130,00

N. Balakrishnan

Inspired by the Encyclopedia of Statistical Sciences, Second Edition (ESS2e), this volume presents a concise, well-rounded focus on the statistical concepts and applications that are essential for understanding gathered data in the fields of engineering, quality control, and the physical sciences. The book successfully upholds the goals of ESS2e by combining both previously-published and newly developed contributions written by over 100 leading academics, researchers, and practitioner in a comprehensive, approachable format. The result is a succinct reference that unveils modern, cutting-edge approaches to acquiring and analyzing data across diverse subject areas within these three disciplines, including operations research, chemistry, physics, the earth sciences,electrical engineering, and quality assurance. In addition, techniques related to survey methodology, computational statistics, and operations research are discussed, where applicable. Topics of coverage include: optimal and stochastic control, artificial intelligence, quantum mechanics, and fractals.

Wiley

Miller and Freund's Probability and Statistics for Engineers

9780321694980 15.12.2009 Oprawa: miękka

£ 57,99

Richard A. Johnson

This text is rich in exercises and examples, and explores both elementary probability and basic statistics, with an emphasis on engineering and science applications. Much of the data have been collected from the author's own consulting experience and from discussions with scientists and engineers about the use of statistics in their fields. In later chapters, the book emphasizes designed experiments, especially two-level factorial design.

Pearson Education

Probability and Statistics for Engineers and Scientists

9780321748232 02.01.2011 Oprawa: miękka

£ 62,99

Ronald E. Walpole

This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance of theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding.

Pearson Education

Probability, Statistics, and Reliability for Engineers and Scientists

9781439809518 22.04.2011 Oprawa: twarda

£ 76,99

Bilal M. Ayyub

In a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world problems is essential. Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition introduces the fundamentals of probability, statistics, reliability, and risk methods to engineers and scientists for the purposes of data and uncertainty analysis and modeling in support of decision making. The third edition of this bestselling text presents probability, statistics, reliability, and risk methods with an ideal balance of theory and applications. Clearly written and firmly focused on the practical use of these methods, it places increased emphasis on simulation, particularly as a modeling tool, applying it progressively with projects that continue in each chapter. This provides a measure of continuity and shows the broad use of simulation as a computational tool to inform decision making processes.

Taylor & Francis


6 www.abe.pl

Statistical and Thermal Physics: An Introduction

9781439850534 23.05.2011 Oprawa: twarda

£ 44,99

Michael J.R. Hoch

Concepts and relationships in thermal and statistical physics form the foundation for describing systems consisting of macroscopically large numbers of particles. Developing microscopic statistical physics and macroscopic classical thermodynamic descriptions in tandem, Statistical and Thermal Physics: An Introduction provides insight into basic concepts at an advanced undergraduate level. Highly detailed and profoundly thorough, this comprehensive introduction includes exercises within the text as well as end-of-chapter problems. The first section of the book covers the basics of equilibrium thermodynamics and introduces the concepts of temperature, internal energy, and entropy using ideal gases and ideal paramagnets as models. The chemical potential is defined and the three thermodynamic potentials are discussed with use of Legendre transforms. The second section presents a complementary microscopic approach to entropy and temperature, with the general expression for entropy given in terms of the number of accessible microstates in the fixed energy, microcanonical ensemble.

Taylor & Francis

Statistical Thermodynamics

9781466510678 22.10.2012 Oprawa: twarda

£ 49,99

Lukong Cornelius Fai

Statistical thermodynamics and the related domains of statistical physics and quantum mechanics are very important in many fields of research, including plasmas, rarefied gas dynamics, nuclear systems, lasers, semiconductors, superconductivity, ortho- and para-hydrogen, liquid helium, and so on. Statistical Thermodynamics: Understanding the Properties of Macroscopic Systems provides a detailed overview of how to apply statistical principles to obtain the physical and thermodynamic properties of macroscopic systems. Intended for physics, chemistry, and other science students at the graduate level, the book starts with fundamental principles of statistical physics, before diving into thermodynamics. Going further than many advanced textbooks, it includes Bose-Einstein, Fermi-Dirac statistics, and Lattice dynamics as well as applications in polaron theory, electronic gas in a magnetic field, thermodynamics of dielectrics, and magnetic materials in a magnetic field. The book concludes with an examination of statistical thermodynamics using functional integration and Feynman path integrals, and includes a wide range of problems with solutions that explain the theory.

Taylor & Francis

Statistics for Engineering and the Sciences

9780131877061 13.07.2006 Oprawa: twarda

£ 63,99

William Mendenhall, III

For engineering statistics courses in departments of Statistics and Engineering. This text is designed for a two-semester introductory course in statistics for students majoring in engineering or any of the physical sciences. Inevitalby, once these studenrts graduate and are employed, they will be involved in the collection and analysis of data and will be required to think critically about the results. Consequently, they need to acquire knowledge of the basic concepts of data description and statistical inference and familiarity with statistical methods they are required to use on the job.The text includes optional theoretical exercises allowing instructors who choose to emphasize theory to do so without requiring additional materials. The assumed mathematical background is a two-semester sequence in calculus - that is, the course could be taught to students of average mathematical talent and with a basic understanding of the principles of differential and integral calculus. Datasets and other resources (where applicable) for this book are available here.

Pearson Education

Statistics for Imaging, Optics, and Photonics

9781118303603 03.01.2012 Oprawa: twarda

£ 66,95

Bajorski

A vivid, hands-on discussion of the statistical methods in imaging, optics, and photonics applications In the field of imaging science, there is a growing need for students and practitioners to be equipped with the necessary knowledge and tools to carry out quantitative analysis of data. Providing a self-contained approach that is not too heavily statistical in nature, Statistics for Imaging, Optics, and Photonics presents necessary analytical techniques in the context of real examples from various areas within the field, including remote sensing, color science, printing, and astronomy. Bridging the gap between imaging, optics, photonics, and statistical data analysis, the author uniquely concentrates on statistical inference, providing a wide range of relevant methods.

Wiley

The Principles of Thermodynamics

9781466512085 16.08.2013 Oprawa: twarda

£ 57,99

N.D. Hari Dass

This text presents the conceptual and technical developments of the subject without unduly compromising on either the historical or logical perspective. It also covers the tremendous range of scientifically deep and technologically revolutionary applications of thermodynamics. The text explains how thermodynamics evolved from a few basic laws that were amazingly successful and with tremendous range, without even knowing about the atomic structure of matter or the laws governing the behavior of atoms.

Taylor & Francis

Thermodynamics Made Simple for Energy Engineers

9781439852019 15.12.2011 Oprawa: twarda

£ 82,00

S Bobby Rauf

This text provides an overview of important theory, principles, and concepts in the field of thermodynamics, making this abstract and complex subject easy to comprehend while building practical skills in the process. It enhances understanding of heat transfer, steam tables, energy concepts, power generation, psychrometry, refrigeration cycles, and more. Practical, easily accessible case studies illustrate various thermodynamics principles. Each chapter concludes with a list of questions or problems, with answers at the back of the book.

Taylor & Francis

STATYSTYKA FINANSOWA

I EKONOMETRIA


Statystyka finansowa i ekonometria

8 www.abe.pl

A Concise Introduction to Business Research Methods

9781439861097 16.12.2013 Oprawa: twarda

£ 49,99

D. Israel

Introductory in its approach, this text covers essential aspects of research methods. The author emphasizes major topics, such as experimental design, scale construction techniques, testing reliability and validity, as well as the application of univariate, bivariate, and multivariate tools in data analysis. Step-by-step details of the application of the SPSS, along with screenshots, are included to illustrate the application of tools to analyze and interpret research data. The book covers pre-, quasi-, true-, and complex experimental design forms. Each chapter contains descriptive questions, multiple-choice questions, true/false statements, and exercises.

Taylor & Francis

A Course on Statistics for Finance

9781439892541 03.01.2013 Oprawa: twarda

£ 57,99

Stanley L. Sclove

Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The author introduces regression analysis, time series analysis, and multivariate analysis step by step using models and methods from finance. The book begins with a review of basic statistics, including descriptive statistics, kinds of variables, and types of data sets. It then discusses regression analysis in general terms and in terms of financial investment models, such as the capital asset pricing model and the Fama/French model. It also describes mean-variance portfolio analysis and concludes with a focus on time series analysis. Providing the connection between elementary statistics courses and quantitative finance courses, this text helps both existing and future quants improve their data analysis skills and better understand the modeling process.

Taylor & Francis

A Modern Theory of Random Variation

9781118166406 16.11.2012 Oprawa: twarda

£ 76,95

Patrick Muldowney

This book presents a self-contained study of the Riemann approach to the theory of random variation and assumes only some familiarity with probability or statistical analysis, basic Riemann integration, and mathematical proofs. The author focuses on non-absolute convergence in conjunction with random variation. Any conception or understanding of the random variation phenomenon hinges on the notions of probability and its mathematical representation in the form of probability distribution functions. The central and recurring theme throughout this book is that, provided the use a non-absolute method of summation, every finitely additive, function of disjoint intervals is integrable. In contrast, more traditional methods in probability theory exclude significant classes of such functions whose integrability cannot be established whenever only absolute convergence is considered. An examples includes the Feynman "measure-which-is-not-a-measure" - the so-called probability amplitudes used in the Feynman path integrals of quantum mechanics.

Wiley

A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and

9781439855508 19.08.2011 Oprawa: twarda

£ 59,99

Phillip I. Good

Distribution-free resampling methods-permutation tests, decision trees, and the bootstrap-are used today in virtually every research area. A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling explains how to use the bootstrap to estimate the precision of sample-based estimates and to determine sample size, data permutations to test hypotheses, and the readily-interpreted decision tree to replace arcane regression methods. Highlights Each chapter contains dozens of thought provoking questions, along with applicable R and Stata code Methods are illustrated with examples from agriculture, audits, bird migration, clinical trials, epidemiology, image processing, immunology, medicine, microarrays and gene selection Lists of commercially available software for the bootstrap, decision trees, and permutation tests are incorporated in the text Access to APL, MATLAB, and SC code for many of the routines is provided on the author's website

Taylor & Francis

Active Risk Management

9781439839485 05.11.2013 Oprawa: twarda

£ 57,99

Lai

Following the recent financial crisis, risk management in financial institutions, particularly in banks, has attracted widespread attention and discussion. Novel modeling approaches and courses to educate future professionals in industry, government, and academia are of timely relevance. This book introduces an innovative concept and methodology developed by the authors: active risk management. It is suitable for graduate students in mathematical finance/financial engineering, economics, and statistics as well as for practitioners in the fields of finance and insurance. The book’s website features the data sets used in the examples along with various exercises. Following the recent financial crisis, risk management in financial institutions, particularly in banks, has attracted widespread attention and discussion. Novel modeling approaches and courses to educate future professionals in industry, government, and academia are of timely relevance. This book introduces an innovative concept and methodology developed by the authors: active risk management. It is suitable for graduate students in mathematical

Taylor & Francis

An Introduction to Analysis of Financial Data with R

9780470890813 07.12.2012 Oprawa: twarda

£ 86,95

Ruey S. Tsay

This book provides a systematic and mathematically accessible introduction to financial econometric models and their applications in modeling and predicting financial time series data. It emphasizes empirical financial data and focuses on real-world examples. Following this approach, readers will master key aspects of financial time series, including volatility modeling, neural network applications, market microstructure, and high-frequency financial data. S-Plus(r) commands and illustrations are used extensively throughout the book in order to highlight accurate interpretations and graphical representations of financial data. Exercises are included in order to provide readers with more opportunities to put the models and methods into everyday practice. The tools provided in the text aid readers in developing a deeper understanding of financial markets through firsthand experience in working with financial data, most importantly without needless computation.

Wiley


www.abe.pl 9

An Introduction to Exotic Option Pricing

9781420091007 02.03.2012 Oprawa: twarda

£ 49,99

Peter Buchen

In an easy-to-understand, nontechnical yet mathematically elegant manner, An Introduction to Exotic Option Pricing shows how to price exotic options, including complex ones, without performing complicated integrations or formally solving partial differential equations (PDEs). The author incorporates much of his own unpublished work, including ideas and techniques new to the general quantitative finance community. The first part of the text presents the necessary financial, mathematical, and statistical background, covering both standard and specialized topics. Using no-arbitrage concepts, the Black-Scholes model, and the fundamental theorem of asset pricing, the author develops such specialized methods as the principle of static replication, the Gaussian shift theorem, and the method of images. A key feature is the application of the Gaussian shift theorem and its multivariate extension to price exotic options without needing a single integration. The second part focuses on applications to exotic option pricing, including dual-expiry, multi-asset rainbow, barrier, lookback, and Asian options.

Taylor & Francis

Analysis of Financial Time Series

9780470414354 10.09.2010 Oprawa: twarda

£ 90,95

Ruey S. Tsay

This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods described. The author begins with basic characteristics of financial time series data before covering three main topics:

Analysis and application of univariate financial time series

The return series of multiple assets

Bayesian inference in finance methods Key features of the new edition include additional coverage of modern day topics such as arbitrage, pair trading, realized volatility, and credit risk modeling; a smooth transition from S-Plus to R; and expanded empirical financial data sets.

Wiley

Applied Business Statistics: Making Better Business Decisions

9781118092293 03.02.2012 Oprawa: miękka

£ 54,99

Ken Black

Black's latest outstanding pedagogy of Business Statistics includes the use of extra problems called "Demonstration Problems" to provide additional insight and explanation to working problems, and presents concepts, topics, formulas, and application in a manner that is palatable to a vast audience and minimizes the use of "scary" formulas. Every chapter opens up with a vignette called a "Decision Dilemma" about real companies, data, and business issues. Solutions to these dilemmas are presented as a feature called "Decision Dilemma Solved." In this edition all cases and "Decision Dilemmas" are updated and revised and 1/3 have been replaced for currency. There is also a significant number of additional problems and an extremely competitive collection of databases (containing real data) on: international stock markets, consumer food, international labor, financial, energy, agribusiness, 12-year gasoline, manufacturing, and hospital.

Wiley

Applied Statistics for Business and Economics

9781439805688 19.03.2010 Oprawa: twarda

£ 56,99

Robert M. Leekley

Designed for a one-semester course, Applied Statistics for Business and Economics offers students in business and the social sciences an effective introduction to some of the most basic and powerful techniques available for understanding their world. Numerous interesting and important examples reflect real-life situations, stimulating students to think realistically in tackling these problems. Calculations can be performed using any standard spreadsheet package. To help with the examples, the author offers both actual and hypothetical databases on his website http://iwu.edu/~bleekley The text explores ways to describe data and the relationships found in data. It covers basic probability tools, Bayes' theorem, sampling, estimation, and confidence intervals. The text also discusses hypothesis testing for one and two samples, contingency tables, goodness-of-fit, analysis of variance, and population variances. In addition, the author develops the concepts behind the linear relationship between two numeric variables (simple regression) as well as the potentially nonlinear relationships among more than two variables (multiple regression).

Taylor & Francis

Applied Stochastic Finance: v. 1

9781848211582 19.01.2010 Oprawa: twarda

£ 99,95

P-C.G. Vassiliou

Stochastic finance and financial engineering have been rapidly expanding fields of science over the past four decades, mainly due to the success of sophisticated quantitative methodologies in helping professionals manage financial risks. In recent years, we have witnessed a tremendous acceleration in research efforts aimed at better comprehending, modeling and hedging this kind of risk. These two volumes aim to provide a foundation course on applied stochastic finance. They are designed for three groups of readers: firstly, students of various backgrounds seeking a core knowledge on the subject of stochastic finance; secondly financial analysts and practitioners in the investment, banking and insurance industries; and finally other professionals who are interested in learning advanced mathematical and stochastic methods, which are basic knowledge in many areas, through finance. Volume 1 starts with the introduction of the basic financial instruments and the fundamental principles of financial modeling and arbitrage valuation of derivatives. Next, we use the discrete-time binomial model to introduce all relevant concepts.

Wiley

ARCH Models for Financial Applications

9780470066300 09.04.2010 Oprawa: twarda

£ 65,95

Evdokia Xekalaki

ARCH Models for Financial Applications provides background on the theory of ARCH models, with a focus on practical implementation via applications to real data and examples worked with econometrics packages. The interactional exposition of the ARCH theory, and its implementation in practice that the authors adopt, helps readers get a deeper understanding of the models and their use as tools in applied financial contexts. Intended for readers seeking an aptitude in the applications of financial econometric modeling, this book requires only a basic knowledge of econometrics and basic undergraduate-level statistics.

Wiley


10 www.abe.pl

Bayesian Methods in Insurance and Actuarial Science

9781466510616 05.12.2013 Oprawa: twarda

£ 57,99

Yanwei Zhang

There has been a rapidly growing interest in Bayesian methods among insurance practitioners in recent years, mainly because of their ability to generate predictive distributions and to rigorously incorporate expert opinion through prior probabilities. This book introduces modern Bayesian modeling techniques for actuarial and insurance applications. It first provides the necessary background in current actuarial practice and then presents Bayesian methods and MCMC. It includes advanced techniques, such as nonlinear modeling, as well as three chapters on model selection and averaging. The text features case studies using real actuarial and insurance data with computations in R and WinBUGS.

Taylor & Francis

Black-Scholes Model

9780521173001 13.09.2012 Oprawa: miękka

£ 24,00

Marek Capinski

The Black-Scholes option pricing model is the first and by far the best-known continuous-time mathematical model used in mathematical finance. Here, it provides a sufficiently complex, yet tractable, testbed for exploring the basic methodology of option pricing. The discussion of extended markets, the careful attention paid to the requirements for admissible trading strategies, the development of pricing formulae for many widely traded instruments and the additional complications offered by multi-stock models will appeal to a wide class of instructors. Students, practitioners and researchers alike will benefit from the book's rigorous, but unfussy, approach to technical issues. It highlights potential pitfalls, gives clear motivation for results and techniques and includes carefully chosen examples and exercises, all of which make it suitable for self-study.


Business Statistics for Competitive Advantage with Excel 2010

9781441998569 27.03.2012 Oprawa: miękka

€ 74,95

Cynthia Fraser

Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics to provide information on performance response under alternative scenarios. This updated edition of the popular text helps business students develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2010 with shortcuts, and translate results into implications for decision makers. The author emphasizes communicating results effectively in plain English and with compelling graphics in the form of memos and PowerPoints. Statistics, from basics to sophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number of examples focus on business in emerging global markets with particular emphasis on China and India. Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared.

Springer

Choice-based Conjoint Analysis: Models and Designs

9781420099966 11.08.2010 Oprawa: twarda

£ 62,99

Damaraju Raghavarao

Disseminating information from researchers in various fields, this compilation presents the research themes, methods, and findings, making it a significant reference for design researchers and design practitioners interested in furthering understanding of design activity in real-world settings. It presents an analysis of digital video recordings of a series of design meetings on the conceptual stages of a design project. The data were gathered from design meetings taking place as part of naturally occurring design practice, rather than being gathered through a staged experiment in which the conditions are highly controlled.

Taylor & Francis

Clustering: A Data Recovery Approach

9781439838419 15.11.2012 Oprawa: twarda

£ 63,99

Boris Mirkin

Often considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error. Even the two most popular, and most related, clustering methods-K-Means for partitioning and Ward's method for hierarchical clustering-have lacked the theoretical underpinning required to establish a firm relationship between the two methods and relevant interpretation aids. Other approaches, such as spectral clustering or consensus clustering, are considered absolutely unrelated to each other or to the two above mentioned methods. Clustering: A Data Recovery Approach, Second Edition presents a unified modeling approach for the most popular clustering methods: the K-Means and hierarchical techniques, especially for divisive clustering. It significantly expands coverage of the mathematics of data recovery, and includes a new chapter covering more recent popular network clustering approaches-spectral, modularity and uniform, additive, and consensus-treated within the same data recovery approach.

Taylor & Francis

Computation and Modelling in Insurance and Finance: An Introduction

9780521830485 01.10.2013 Oprawa: twarda

£ 65,00

Eric Bolviken

Focusing on what actuaries need in practice, this introductory account provides readers with essential tools for handling complex problems and explains how simulation models can be created, used and re-used (with modifications) in related situations. The book begins by outlining the basic tools of modelling and simulation, including a discussion of the Monte Carlo method and its use. Part II deals with general insurance and Part III with life insurance and financial risk. Algorithms that can be implemented on any programming platform are spread throughout and a program library written in R is included. Numerous figures and experiments with R-code illustrate the text. The author's non-technical approach is ideal for graduate students, the only prerequisites being introductory courses in calculus and linear algebra, probability and statistics. The book will also be of value to actuaries and other analysts in the industry looking to update their skills.



www.abe.pl 11

Customer and Business Analytics

9781466503960 06.06.2012 Oprawa: miękka

£ 44,99

Robert E. Krider

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the text is ideal for students in customer and business analytics or applied data mining as well as professionals in small- to medium-sized organizations. The book offers an intuitive understanding of how different analytics algorithms work. Where necessary, the authors explain the underlying mathematics in an accessible manner. Each technique presented includes a detailed tutorial that enables hands-on experience with real data. The authors also discuss issues often encountered in applied data mining projects and present the CRISP-DM process model as a practical framework for organizing these projects. Showing how data mining can improve the performance of organizations, this book and its R-based software provide the skills and tools needed to successfully develop advanced analytics capabilities.

Taylor & Francis

Data Driven Business Decisions

9780470619605 04.11.2011 Oprawa: twarda

£ 83,50

Chris J. Lloyd

A hands-on guide to the use of quantitative methods and software for making successful business decisions The appropriate use of quantitative methods lies at the core of successful decisions made by managers, researchers, and students in the field of business. Providing a framework for the development of sound judgment and the ability to utilize quantitative and qualitative approaches, Data Driven Business Decisions introduces readers to the important role that data plays in understanding business outcomes, addressing four general areas that managers need to know about: data handling and Microsoft Excel(r), uncertainty, the relationship between inputs and outputs, and complex decisions with trade-offs and uncertainty. Grounded in the author's own classroom approach to business statistics, the book reveals how to use data to understand the drivers of business outcomes, which in turn allows for data-driven business decisions.

Wiley

Data Mining Mobile Devices

9781466555952 25.06.2013 Oprawa: twarda

£ 44,99

Jesus Mena

Data Mining Mobile Devices, also known as "Reality Mining," defines the collection of machine-sensed environmental data pertaining to human social behavior. This new paradigm of data mining makes possible the modeling of conversation context, proximity sensing, and temporospatial location throughout large communities of individuals. Mobile phones (and similarly innocuous devices) are used for data collection, opening behavior analysis to new methods of empirical stochastic modeling. The book explains how the combination of data mining and machine learning makes this possible, and details how to integrate the various technologies.

Taylor & Francis

Developing Econometrics

9780470681770 25.11.2011 Oprawa: twarda

£ 55,00

Hengqing Tong

Statistical Theories and Methods with Applications to Economics and Business highlights recent advances in statistical theory and methods that benefit econometric practice. It deals with exploratory data analysis, a prerequisite to statistical modelling and part of data mining. It provides recently developed computational tools useful for data mining, analysing the reasons to do data mining and the best techniques to use in a given situation.

Provides a detailed description of computer algorithms.

Provides recently developed computational tools useful for data mining

Highlights recent advances in statistical theory and methods that benefit econometric practice.

Features examples with real life data.

Accompanying software featuring DASC (Data Analysis and Statistical Computing).

Wiley

Developing, Validating and Using Internal Ratings

9780470711491 24.09.2010 Oprawa: twarda

£ 62,50

Giacomo de Laurentis

This book provides a thorough analysis of internal rating systems. Two case studies are devoted to building and validating statistical-based models for borrowers' ratings, using SPSS-PASW and SAS statistical packages. Mainstream approaches to building and validating models for assigning counterpart ratings to small and medium enterprises are discussed, together with their implications on lending strategy. Key Features: * Presents an accessible framework for bank managers, students and quantitative analysts, combining strategic issues, management needs, regulatory requirements and statistical bases. * Discusses available methodologies to build, validate and use internal rate models. * Demonstrates how to use statistical packages for building statistical-based credit rating systems. * Evaluates sources of model risks and strategic risks when using statistical-based rating systems in lending. This book will prove to be of great value to bank managers, credit and loan officers, quantitative analysts and advanced students on credit risk management courses.

Wiley

Discrete Models of Financial Markets

9780521175722 23.02.2012 Oprawa: miękka

£ 24,00

Ekkehard Kopp

This book explains in simple settings the fundamental ideas of financial market modelling and derivative pricing, using the no-arbitrage principle. Relatively elementary mathematics leads to powerful notions and techniques - such as viability, completeness, self-financing and replicating strategies, arbitrage and equivalent martingale measures - which are directly applicable in practice. The general methods are applied in detail to pricing and hedging European and American options within the Cox-Ross-Rubinstein (CRR) binomial tree model. A simple approach to discrete interest rate models is included, which, though elementary, has some novel features. All proofs are written in a user-friendly manner, with each step carefully explained and following a natural flow of thought. In this way the student learns how to tackle new problems.



12 www.abe.pl

Discrete Models of Financial Markets

9781107002630 23.02.2012 Oprawa: twarda

£ 50,00

Ekkehard Kopp

This book explains in simple settings the fundamental ideas of financial market modelling and derivative pricing, using the no-arbitrage principle. Relatively elementary mathematics leads to powerful notions and techniques - such as viability, completeness, self-financing and replicating strategies, arbitrage and equivalent martingale measures - which are directly applicable in practice. The general methods are applied in detail to pricing and hedging European and American options within the Cox-Ross-Rubinstein (CRR) binomial tree model. A simple approach to discrete interest rate models is included, which, though elementary, has some novel features. All proofs are written in a user-friendly manner, with each step carefully explained and following a natural flow of thought. In this way the student learns how to tackle new problems.


Economic Time Series: Modeling and Seasonality

9781439846575 18.04.2012 Oprawa: twarda

£ 63,99

William R. Bell

Economic Time Series: Modeling and Seasonality is a focused resource on analysis of economic time series as pertains to modeling and seasonality, presenting cutting-edge research that would otherwise be scattered throughout diverse peer-reviewed journals. This compilation of 21 chapters showcases the cross-fertilization between the fields of time series modeling and seasonal adjustment, as is reflected both in the contents of the chapters and in their authorship, with contributors coming from academia and government statistical agencies. For easier perusal and absorption, the contents have been grouped into seven topical sections: Section I deals with periodic modeling of time series, introducing, applying, and comparing various seasonally periodic models Section II examines the estimation of time series components when models for series are misspecified in some sense, and the broader implications this has for seasonal adjustment and business cycle estimation Section III examines the quantification of error in X-11 seasonal adjustments, with comparisons to error in model-based seasonal adjustments

Taylor & Francis

Extreme Value Methods with Applications to Finance

9781439835746 21.12.2011 Oprawa: twarda

£ 66,99

Serguei Y. Novak

Extreme value theory (EVT) deals with extreme (rare) events, which are sometimes reported as outliers. Certain textbooks encourage readers to remove outliers-in other words, to correct reality if it does not fit the model. Recognizing that any model is only an approximation of reality, statisticians are eager to extract information about unknown distribution making as few assumptions as possible. Extreme Value Methods with Applications to Finance concentrates on modern topics in EVT, such as processes of exceedances, compound Poisson approximation, Poisson cluster approximation, and nonparametric estimation methods. These topics have not been fully focused on in other books on extremes. In addition, the book covers: Extremes in samples of random size Methods of estimating extreme quantiles and tail probabilities Self-normalized sums of random variables Measures of market risk Along with examples from finance and insurance to illustrate the methods, Extreme Value Methods with Applications to Finance includes over 200 exercises, making it useful as a reference book, self-study tool, or comprehensive course text.

Taylor & Francis

Financial and Actuarial Statistics: An Introduction

9781420085808 15.10.2013 Oprawa: twarda

£ 57,99

Dale S. Borowiak

Presenting a unique interface between statistics and financial/actuarial topics, this second edition provides a solid background for students preparing for a career in actuarial science. It explores novel research areas and adds more problems, along with a new solutions section. This edition also includes a new chapter on Markov chain theory with applications to mortality and multiple decrement mortality table modeling, a presentation of model checking diagnostics that covers diagnostics for mortality tables, and an expanded discussion on option pricing with examples.

Taylor & Francis

Financial Mathematics: A Comprehensive Treatment

9781439892428 17.10.2013 Oprawa: twarda

£ 57,99

Giuseppe Campolieti

This text offers a comprehensive, self-contained, and unified treatment of the theory and application of mathematical methods behind modern-day financial mathematics. It introduces the financial theory and the relevant mathematical methods in a mathematically rigorous yet student-friendly and engaging style. The text provides complete and in-depth coverage of both discrete- and continuous-time financial models and pricing theory. It also includes numerous examples, exercises, fully worked out solutions, and multiple problem-solving approaches. A solutions manual is available upon qualifying course adoption.

Taylor & Francis

Financial Risk Modelling and Portfolio Optimization with R

9780470978702 07.12.2012 Oprawa: twarda

£ 60,00

Bernhard Pfaff

Introduces the latest techniques advocated for measuring financial market risk and portfolio optimization, and provides a plethora of R code examples that enable the reader to replicate the results featured throughout the book. Financial Risk Modelling and Portfolio Optimization with R:

Demonstrates techniques in modelling financial risks and applying portfolio optimization techniques as well as recent advances in the field.

Introduces stylized facts, loss function and risk measures, conditional and unconditional modelling of risk; extreme value theory, generalized hyperbolic distribution, volatility modelling and concepts for capturing dependencies.

Explores portfolio risk concepts and optimization with risk constraints.

Enables the reader to replicate the results in the book using R code.

Wiley


www.abe.pl 13

Financial Statistics and Mathematical Finance

9780470710586 20.07.2012 Oprawa: twarda

£ 55,00

Ansgar Steland

Mathematical finance has grown into a huge area of research which requires a lot of care and a large number of sophisticated mathematical tools. Mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, it considers various aspects of the application of statistical methods in finance and illustrates some of the many ways that statistical tools are used in financial applications. Financial Statistics and Mathematical Finance: Provides an introduction to the basics of financial statistics and mathematical finance. Explains the use and importance of statistical methods in econometrics and financial engineering. Illustrates the importance of derivatives and calculus to aid understanding in methods and results. Looks at advanced topics such as martingale theory, stochastic processes and stochastic integration. Features examples throughout to illustrate applications in mathematical and statistical finance. Is supported by an accompanying website featuring R code and data sets.

Wiley

GARCH Models

9780470683910 16.07.2010 Oprawa: twarda

£ 60,00

Christian Francq

This book provides a comprehensive and systematic approach to understanding GARCH time series models and their applications whilst presenting the most advanced results concerning the theory and practical aspects of GARCH. The probability structure of standard GARCH models is studied in detail as well as statistical inference such as identification, estimation and tests. The book also provides coverage of several extensions such as asymmetric and multivariate models and looks at financial applications. Key features: Provides up-to-date coverage of the current research in the probability, statistics and econometric theory of GARCH models. Numerous illustrations and applications to real financial series are provided. Supporting website featuring R codes, Fortran programs and data sets. Presents a large collection of problems and exercises. This authoritative, state-of-the-art reference is ideal for graduate students, researchers and practitioners in business and finance seeking to broaden their skills of understanding of econometric time series models.

Wiley

Handbook of Empirical Economics and Finance

9781420070354 16.12.2010 Oprawa: twarda

£ 101,00

Aman Ullah

Handbook of Empirical Economics and Finance explores the latest developments in the analysis and modeling of economic and financial data. Well-recognized econometric experts discuss the rapidly growing research in economics and finance and offer insight on the future direction of these fields. Focusing on micro models, the first group of chapters describes the statistical issues involved in the analysis of econometric models with cross-sectional data often arising in microeconomics. The book then illustrates time series models that are extensively used in empirical macroeconomics and finance. The last set of chapters explores the types of panel data and spatial models that are becoming increasingly significant in analyzing complex economic behavior and policy evaluations. This handbook brings together both background material and new methodological and applied results that are extremely important to the current and future frontiers in empirical economics and finance. It emphasizes inferential issues that transpire in the analysis of cross-sectional, time series, and panel data-based empirical models in economics, finance, and related disciplines.

Taylor & Francis

Handbook of Exchange Rates

9780470768839 24.07.2012 Oprawa: twarda

£ 100,00

Jessica James

Handbook of Exchange Rates is an impressive compilation of research from more than thirty-five leading researchers and experts on the topic. The book is clearly organized into five succinct sections that explore the foreign exchange (FX) market, from its background and economic foundation to current practices, obstacles, and policies in the modern foreign exchange market. Part I presents an overview of the history of the FX market and exchange rate regimes, the key instruments/players in the FX trading environment, and both macro and micro approaches to FX determination. Next, Part II focuses on forecasting exchange rates, featuring methodological contributions on the sstatistical methods for evaluating forecast performance, parity relationships, fair value models, and flow-based models. Part III treats FX as an asset class, outlining active currency management, currency hedging, hedge accounting, high frequency and algorithmic trading in FX, and FX strategy-based products. Part IV discusses products and pricing in FX, the FX options market, and volatility derivatives.

Wiley

Handbook of Modeling High-Frequency Data in Finance

9780470876886 06.01.2012 Oprawa: twarda

£ 100,50

Frederi G. Viens

CUTTING-EDGE DEVELOPMENTS IN HIGH-FREQUENCY FINANCIAL ECONOMETRICS In recent years, the availability of high-frequency data and advances in computing have allowed financial practitioners to design systems that can handle and analyze this information. Handbook of Modeling High-Frequency Data in Finance addresses the many theoretical and practical questions raised by the nature and intrinsic properties of this data. A one-stop compilation of empirical and analytical research, this handbook explores data sampled with high-frequency finance in financial engineering, statistics, and the modern financial business arena. Every chapter uses real-world examples to present new, original, and relevant topics that relate to newly evolving discoveries in high-frequency finance, such as: Designing new methodology to discover elasticity and plasticity of price evolution Constructing microstructure simulation models Calculation of option prices in the presence of jumps and transaction costs Using boosting for financial analysis and trading.

Wiley

Handbook of Solvency for Actuaries and Risk Managers

9781439821305 12.11.2010 Oprawa: twarda

£ 97,00

Arne Sandstrom

Reflecting the author's wealth of experience in this field, Handbook of Solvency for Actuaries and Risk Managers: Theory and Practice focuses on the valuation of assets and liabilities, the calculation of capital requirement, and the calculation of the standard formula for the European Solvency II project. The first three sections of the book examine the solvency concept, historical development, and the role of solvency in an enterprise risk management approach. The text provides a general discussion on valuation, investment, and capital, along with modeling and measuring. It also covers dependence, risk measures, capital requirements, subrisks, aggregation, the main risks market, and credit, operational, liquidity, and underwriting risks. The last three sections focus on the European Solvency II project. Basing the material on CEIOPS final advice, the author presents the general ideas, valuation, investments, and funds of this project as well as the standard formula framework. He also includes all calibrations from previous quantitative impact studies and discusses the political progress of the project.

Taylor & Francis


14 www.abe.pl

Insurance Risk and Ruin

9780521176750 16.09.2010 Oprawa: miękka

£ 31,99

David C. M. Dickson

Based on the author's experience of teaching final-year actuarial students in Britain and Australia, and suitable for a first course in insurance risk theory, this book focuses on the two major areas of risk theory - aggregate claims distributions and ruin theory. For aggregate claims distributions, detailed descriptions are given of recursive techniques that can be used in the individual and collective risk models. For the collective model, different classes of counting distribution are discussed, and recursion schemes for probability functions and moments presented. For the individual model, the three most commonly applied techniques are discussed and illustrated. Care has been taken to make the book accessible to readers who have a solid understanding of the basic tools of probability theory.


Introduction to Credit Risk Modeling

9781584889922 02.06.2010 Oprawa: twarda

£ 56,99

Christian Bluhm

Illustrating mathematical models for structured credit with practical examples, "Introduction to Credit Risk Modeling" provides an accessible introduction to the foundations of structured credit portfolio modeling. Updated and expanded, this second edition features additional material on estimation of asset correlations, benchmark correlations based on securitizations of benchmark portfolios in the market, risk contributions and spectral risk measures, non homogeneous Markov chain approaches, multi-year models, current agency models, single-tranche CDOs, index tranches, as well as new developments in synthetics. The text also includes new exercises and a supporting website.

Taylor & Francis

Introduction to Stochastic Finance

9781466594029 05.11.2013 Oprawa: twarda

£ 49,99

Privault

This comprehensive text presents an introduction to pricing and hedging in financial models, with an emphasis on analytical and probabilistic methods. It demonstrates both the power and limitations of mathematical models in finance. The book starts with the basics of finance and stochastic calculus and builds up to special topics, such as options, derivatives, and credit default and jump processes. Many real examples illustrate the topics and classroom-tested exercises are included in each chapter, with selected solutions at the back of the book.

Taylor & Francis

Introduction to the Practice of Statistics

9781429286640 08.04.2011 Oprawa: twarda

£ 53,99

David S. Moore

With a focus on data analysis, statistical reasoning, and the way statisticians actually work, IPS has helped to revolutionize the way statistics are taught and brings critical thinking and practical applications to your course.Revised for more learner-friendly progression, the 7th edition includes 30% new exercises, including international examples such as Facebook usage trends outside the USA. What this book offers students: * Focuses on data analysis and practical applications, showing the way statisticians actually work. * Fosters statistical reasoning and decision-making skills, not just calculation drills, through a focus on problem-solving practice. * Presents contemporary real data in real contexts, making the numbers and why we analyse them meaningful. * Includes examples from many interesting disciplines (from psychology to medicine and business) to give relevance to the material covered.

Palgrave MacMillan

Life Contingencies

9781107648098 09.06.2011 Oprawa: miękka

£ 26,99

E. F. Spurgeon

Published in 1932, this is the third edition of an original 1922 volume. The 1922 volume was, in turn, created as the replacement for the Institute of Actuaries Textbook, Part Three, which was the foremost source of knowledge on the subject of life contingencies for over 35 years. Assuming a high level of mathematical knowledge on the part of the reader, it was aimed chiefly at actuarial students and those with a professional interest in the relationship between statistics and mortality. Highly organised and containing numerous mathematical formulae, this book will remain of value to anyone with an interest in risk calculation and the development of the insurance industry.


Logit Models from Economics and Other Fields

9780521188036 03.03.2011 Oprawa: miękka

£ 25,99

J. S. Cramer

Logistic models are widely used in economics and other disciplines and are easily available as part of many statistical software packages. This text for graduates, practitioners and researchers in economics, medicine and statistics, which was originally published in 2003, explains the theory underlying logit analysis and gives a thorough explanation of the technique of estimation. The author has provided many empirical applications as illustrations and worked examples. A large data set - drawn from Dutch car ownership statistics - is provided online for readers to practise the techniques they have learned. Several varieties of logit model have been developed independently in various branches of biology, medicine and other disciplines. This book takes its inspiration from logit analysis as it is practised in economics, but it also pays due attention to developments in these other fields.



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Loss Models: from Data to Decisions Student Solutions Manual

9781118315316 15.10.2012 Oprawa: miękka

£ 23,50

Stuart A. Klugman

An update of one of the most trusted books on constructing and analyzing actuarial models for the C/4 actuarial exam This new, abridged edition has been thoroughly revised and updated to include the essential material related to Exam C of the Society of Actuaries' and Casualty Actuarial Society's accreditation programs. The book maintains an approach to modeling and forecasting that utilizes tools related to risk theory, loss distributions, and survival models. Random variables, basic distributional quantities, the recursive method, and techniques for classifying and creating distributions are also discussed. Both parametric and non-parametric estimation methods are thoroughly covered along with advice for choosing an appropriate model. The book continues to distinguish itself by providing over 400 exercises that have appeared on previous examinations.The emphasis throughout is now placed on calculations and spreadsheet implementation.

Wiley

Making It Happen: Using Causal Models for Business Analysis

9780415657600 15.09.2013 Oprawa: miękka

£ 31,99

Aaron L Bramson

Ryall and Bramson's Inference and Intervention is the first textbook on causal modeling with Bayesian networks for business applications. In a world of resource scarcity, a decision about which business elements to control or change – as the authors put it, a managerial intervention – must precede any decision on how to control or change them, and understanding causality is crucial to making effective interventions. The authors cover the full spectrum of causal modeling techniques useful for the managerial role, whether for intervention, situational assessment, strategic decision-making, or forecasting. From the basic concepts and nomenclature of causal modeling to decision tree analysis, qualitative methods, and quantitative modeling tools, this book offers a toolbox for MBA students and business professionals to make successful decisions in a managerial setting.

Taylor & Francis

Mathematical Statistics for Economics and Business

9781461450214 31.03.2013 Oprawa: twarda

€ 79,95

Ron C. Mittelhammer

Mathematical Statistics for Economics and Business, Second Edition, provides a comprehensive introduction to the principles of mathematical statistics which underpin statistical analyses in the fields of economics, business, and econometrics. The selection of topics in this textbook is designed to provide students with a conceptual foundation that will facilitate a substantial understanding of statistical applications in these subjects. This new edition has been updated throughout and now also includes a downloadable Student Answer Manual containing detailed solutions to half of the over 300 end-of-chapter problems. After introducing the concepts of probability, random variables, and probability density functions, the author develops the key concepts of mathematical statistics, most notably: expectation, sampling, asymptotics, and the main families of distributions. The latter half of the book is then devoted to the theories of estimation and hypothesis testing with associated examples and problems that indicate their wide applicability in economics and business.

Springer

Methods and Applications of Statistics in Business, Finance, and Management Science

9780470405109 20.07.2010 Oprawa: twarda

£ 150,00

N. Balakrishnan

Inspired by the Encyclopedia of Statistical Sciences, Second Edition , this volume presents the tools and techniques that are essential for carrying out best practices in the modern business world The collection and analysis of quantitative data drives some of the most important conclusions that are drawn in today's business world, such as the preferences of a customer base, the quality of manufactured products, the marketing of products, and the availability of financial resources. As a result, it is essential for individuals working in this environment to have the knowledge and skills to interpret and use statistical techniques in various scenarios. Addressing this need, Methods and Applications of Statistics in Business, Finance, and Management Science serves as a single, one-of-a-kind resource that guides readers through the use of common statistical practices by presenting real-world applications from the fields of business, economics, finance, operations research, and management science.

Wiley

Methods for Estimation and Inference in Modern Econometrics

9781439838242 01.06.2011 Oprawa: twarda

£ 59,99

Stanislav Anatolyev

Methods for Estimation and Inference in Modern Econometrics provides a comprehensive introduction to a wide range of emerging topics, such as generalized empirical likelihood estimation and alternative asymptotics under drifting parameterizations, which have not been discussed in detail outside of highly technical research papers. The book also addresses several problems often arising in the analysis of economic data, including weak identification, model misspecification, and possible nonstationarity. The book's appendix provides a review of some basic concepts and results from linear algebra, probability theory, and statistics that are used throughout the book. Topics covered include: Well-established nonparametric and parametric approaches to estimation and conventional (asymptotic and bootstrap) frameworks for statistical inference Estimation of models based on moment restrictions implied by economic theory, including various method-of-moments estimators for unconditional and conditional moment restriction models, and asymptotic theory for correctly specified and misspecified models.

Taylor & Francis

Microeconometrics Using Stata

9781597180733 08.04.2010 Oprawa: miękka

£ 57,99

A. Colin Cameron

A complete and up-to-date survey of microeconometric methods available in Stata, "Microeconometrics Using Stata, Revised Edition" is an outstanding introduction to microeconometrics and how to execute microeconometric research using Stata. It covers topics left out of most microeconometrics textbooks and omitted from basic introductions to Stata. This revised edition has been updated to reflect the new features available in Stata 11 that are useful to microeconomists. Instead of using mfx and the user-written margeff commands, the authors employ the new margins command, emphasizing both marginal effects at the means and average marginal effects. They also replace the xi command with factor variables, which allow you to specify indicator variables and interaction effects. Along with several new examples, this edition presents the new gmm command for generalized method of moments and nonlinear instrumental-variables estimation. In addition, the chapter on maximum likelihood estimation incorporates enhancements made to ml in Stata 11.

Taylor & Francis


16 www.abe.pl

Misconceptions of Risk: Common Errors and Misconceptions

9780470683880 08.01.2010 Oprawa: twarda

£ 70,00

Terje Aven

The risk discipline is young and there are a number of ideas, perspectives and conceptions of risk out there. A number of such common conceptions of risk are examined in the book, related to the risk concept, risk assessments, uncertainty analyses, risk perception, the precautionary principle, risk management and decision making under uncertainty. The Author discusses these concepts, their strengths and weaknesses, and concludes that they are often better judged as misconceptions of risk than conceptions of risk.

Wiley

Modeling Online Auctions: Statistics in Practice

9780470475652 19.08.2010 Oprawa: twarda

£ 72,95

Wolfgang Jank

Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data Online auctions are an increasingly important marketplace, as the new mechanisms and formats underlying these auctions have enabled the capturing and recording of large amounts of bidding data that are used to make important business decisions. As a result, new statistical ideas and innovation are needed to understand bidders, sellers, and prices. Combining methodologies from the fields of statistics, data mining, information systems, and economics, Modeling Online Auctions introduces a new approach to identifying obstacles and asking new questions using online auction data. The authors draw upon their extensive experience to introduce the latest methods for extracting new knowledge from online auction data. Rather than approach the topic from the traditional game-theoretic perspective, the book treats the online auction mechanism as a data generator, outlining methods to collect, explore, model, and forecast data.

Wiley

Monte Carlo Methods and Models in Finance and Insurance

9781420076189 01.03.2010 Oprawa: twarda

£ 62,99

Ralf Korn

Offering a unique balance between applications and calculations, Monte Carlo Methods and Models in Finance and Insurance incorporates the application background of finance and insurance with the theory and applications of Monte Carlo methods. It presents recent methods and algorithms, including the multilevel Monte Carlo method, the statistical Romberg method, and the Heath-Platen estimator, as well as recent financial and actuarial models, such as the Cheyette and dynamic mortality models. The authors separately discuss Monte Carlo techniques, stochastic process basics, and the theoretical background and intuition behind financial and actuarial mathematics, before bringing the topics together to apply the Monte Carlo methods to areas of finance and insurance. This allows for the easy identification of standard Monte Carlo tools and for a detailed focus on the main principles of financial and insurance mathematics. The book describes high-level Monte Carlo methods for standard simulation and the simulation of stochastic processes with continuous and discontinuous paths.

Taylor & Francis

Monte Carlo Simulation with Applications to Finance

9781439858240 20.06.2012 Oprawa: twarda

£ 49,99

Hui Wang

Developed from the author's course on Monte Carlo simulation at Brown University, Monte Carlo Simulation with Applications to Finance provides a self-contained introduction to Monte Carlo methods in financial engineering. It is suitable for advanced undergraduate and graduate students taking a one-semester course or for practitioners in the financial industry. The author first presents the necessary mathematical tools for simulation, arbitrary free option pricing, and the basic implementation of Monte Carlo schemes. He then describes variance reduction techniques, including control variates, stratification, conditioning, importance sampling, and cross-entropy. The text concludes with stochastic calculus and the simulation of diffusion processes. Only requiring some familiarity with probability and statistics, the book keeps much of the mathematics at an informal level and avoids technical measure-theoretic jargon to provide a practical understanding of the basics. It includes a large number of examples as well as MATLAB(R) coding exercises that are designed in a progressive manner so that no prior experience with MATLAB is needed.

Taylor & Francis

Navigating Strategic Decisions

9781466585980 25.06.2013 Oprawa: twarda

£ 63,99

John E. Triantis

Based on forty years of experience and research, this book provides guidance on forecasting for strategic decision making. It includes methodology, tools, and models. It also explains how to apply sanity checks to existing forecasts to rank project valuations, identify project risks, and select the higher value creation projects. The author discusses how to assess the feasibility of large projects, analyze forecasting models to determine controllable levers, and create the conditions needed for forecasts to materialize.

Provides the most complete treatment of how to create the organization, processes, methods, and techniques required for analyzing and forecasting for strategic decisions

Serves as an essential reference book to strategic planning, new product development, portfolio management, and business development groups

Taylor & Francis

Nonlinear Pricing Methods in Quantitative Finance

9781466570337 16.08.2013 Oprawa: twarda

£ 49,99

Julien Guyon

Collecting many methods that have previously been scattered in the literature, this book presents advanced techniques for solving high-dimensional nonlinear problems. Designed for practitioners, it is one of the first books to discuss nonlinear Black-Scholes partial differential equations (PDEs). The authors explain regression and dual methods for chooser options, the Monte Carlo approach for pricing the uncertain volatility model and the uncertain lapse and mortality model, the Markovian projection/particle method to calibrate local stochastic volatility, hybrid models to market vanilla options, and stochastic representations based on marked branching diffusions.

Taylor & Francis


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Numerical Methods in Finance with C++

9780521177160 02.08.2012 Oprawa: miękka

£ 24,00

Maciej J. Capinski

Driven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical techniques and programming skills they need. The authors start from scratch, so the reader does not need any previous experience of C++. Beginning with straightforward option pricing on binomial trees, the book gradually progresses towards more advanced topics, including nonlinear solvers, Monte Carlo techniques for path-dependent derivative securities, finite difference methods for partial differential equations, and American option pricing by solving a linear complementarity problem. Further material, including solutions to all exercises and C++ code, is available online. The book is ideal preparation for work as an entry-level quant programmer and it gives readers the confidence to progress to more advanced skill sets involving C++ design patterns as applied in finance.


Operational Risk Modelling and Management

9781439844762 18.10.2010 Oprawa: twarda

£ 69,99

Claudio Franzetti

In banking regulation, tools are needed to quantify risk and calculate the amount of capital reserve required to mitigate such risk. This book offers a complete model for the quantification of so-called operational risks. It offers a detailed discussion on the link between modeling approaches and management, which has been neglected in the literature, as well as the mathematical modeling of the loss distribution approach. With an emphasis on risk management and management fundamentals, the text presents a complete simulation model along with tested examples that can be replicated using R software. The author provides a broad view on managing risk using this mathematical model.

Taylor & Francis

Option Pricing and Estimation of Financial Models with R

9780470745847 11.03.2011 Oprawa: twarda

£ 62,50

Stefano M. Iacus

Presents inference and simulation of stochastic process in the field of model calibration for financial times series modelled by continuous time processes and numerical option pricing. Introduces the bases of probability theory and goes on to explain how to model financial times series with continuous models, how to calibrate them from discrete data and further covers option pricing with one or more underlying assets based on these models. Analysis and implementation of models goes beyond the standard Black and Scholes framework and includes Markov switching models, Lévy models and other models with jumps (e.g. the telegraph process); Topics other than option pricing include: volatility and covariation estimation, change point analysis, asymptotic expansion and classification of financial time series from a statistical viewpoint. The book features problems with solutions and examples. All the examples and R code are available as an additional R package, therefore all the examples can be reproduced.

Wiley

Option Valuation: A First Course in Financial Mathematics

9781439889114 13.01.2012 Oprawa: twarda

£ 38,99

H. D. Junghenn

Option Valuation: A First Course in Financial Mathematics provides a straightforward introduction to the mathematics and models used in the valuation of financial derivatives. It examines the principles of option pricing in detail via standard binomial and stochastic calculus models. Developing the requisite mathematical background as needed, the text presents an introduction to probability theory and stochastic calculus suitable for undergraduate students in mathematics, economics, and finance. The first nine chapters of the book describe option valuation techniques in discrete time, focusing on the binomial model. The author shows how the binomial model offers a practical method for pricing options using relatively elementary mathematical tools. The binomial model also enables a clear, concrete exposition of fundamental principles of finance, such as arbitrage and hedging, without the distraction of complex mathematical constructs. The remaining chapters illustrate the theory in continuous time, with an emphasis on the more mathematically sophisticated Black-Scholes-Merton model.

Taylor & Francis

Quantitative Finance: A Simuation-Based Introduction Using Excel

9781439871683 16.11.2013 Oprawa: twarda

£ 49,99

Matt Davison

Providing readers with more quantitative insight into markets and a better overview of market structures, this book explains how the mathematical objects of finance relate to the business needs of markets. It takes a simulation approach to financial market problems, which allows readers to understand concepts without becoming bogged down by excessive equations. Each section describes the relevant financial or mathematical theory, an application of the theory in practice, and a spreadsheet to illustrate it. The text also includes a set of exercises, ranging from simple to complex.

Taylor & Francis

Quantitative Finance: Object-Oriented Approach in C++

9781584884798 16.09.2013 Oprawa: twarda

£ 49,99

Erik Schlogl

A textbook for students and a reference guide for professionals, this text builds a foundation in the key methods and models of quantitative finance from the perspective of their implementation in C++. It introduces computational finance in a pragmatic manner, focusing on practical implementation. The author takes an object-oriented approach that starts from simple building blocks for assembling more complex and powerful models. The author expresses models and algorithms of the industry-standard C++ language and includes working C++ source code on a CD-ROM that accompanies the book.

Taylor & Francis


18 www.abe.pl

Quantitative Methods: An Introduction for Business Management

9780470496343 06.05.2011 Oprawa: twarda

£ 76,95

Paolo Brandimarte

An accessible introduction to the essential quantitative methods for making valuable business decisions Quantitative methods-research techniques used to analyze quantitative data-enable professionals to organize and understand numbers and, in turn, to make good decisions. Quantitative Methods: An Introduction for Business Management presents the application of quantitative mathematical modeling to decision making in a business management context and emphasizes not only the role of data in drawing conclusions, but also the pitfalls of undiscerning reliance of software packages that implement standard statistical procedures. With hands-on applications and explanations that are accessible to readers at various levels, the book successfully outlines the necessary tools to make smart and successful business decisions. Progressing from beginner to more advanced material at an easy-to-follow pace, the author utilizes motivating examples throughout to aid readers interested in decision making and also provides critical remarks, intuitive traps, and counterexamples when appropriate.

Wiley

...

Quantitative Operational Risk Models

9781439895924 16.03.2012 Oprawa: twarda

£ 44,99

Catalina Bolance

Using real-life examples from the banking and insurance industries, Quantitative Operational Risk Models details how internal data can be improved based on external information of various kinds. Using a simple and intuitive methodology based on classical transformation methods, the book includes real-life examples of the combination of internal data and external information. A guideline for practitioners, the book begins with the basics of managing operational risk data to more sophisticated and recent tools needed to quantify the capital requirements imposed by operational risk. The book then covers statistical theory prerequisites, and explains how to implement the new density estimation methods for analyzing the loss distribution in operational risk for banks and insurance companies. In addition, it provides:

Simple, intuitive, and general methods to improve on internal operational risk assessment

Taylor & Francis

Regression Modeling with Actuarial and Financial Applications

9780521135962 30.11.2009 Oprawa: miękka

£ 39,99

Edward W. Frees

This text gives budding actuaries and financial analysts a foundation in multiple regression and time series. They will learn about these statistical techniques using data on the demand for insurance, lottery sales, foreign exchange rates, and other applications. Although no specific knowledge of risk management or finance is presumed, the approach introduces applications in which statistical techniques can be used to analyze real data of interest. In addition to the fundamentals, this book describes several advanced statistical topics that are particularly relevant to actuarial and financial practice, including the analysis of longitudinal, two-part (frequency/severity), and fat-tailed data. Datasets with detailed descriptions, sample statistical software scripts in 'R' and 'SAS', and tips on writing a statistical report, including sample projects.


Relational Data Clustering

9781420072617 21.05.2010 Oprawa: twarda

£ 56,99

Bo Long

This is the first book available that presents a comprehensive overview of relational data clustering in data mining research. The book reflects the recent emergence of relational data clustering as an important field of data clustering, with applications in text mining, social network analysis, collaborative filtering, and bioinformatics. It presents an in-depth, systematic discussion of the models, algorithms, and applications for relational data clustering. The book also covers recently emerging models in relational data clustering, including graph-based models, matrix factorization-based models, and probabilistic models.

Taylor & Francis

Risk Analysis in Finance and Insurance

9781420070521 25.04.2011 Oprawa: twarda

£ 57,99

Alexander Melnikov

The development of quantitative methods based on stochastic analysis is a key achievement of modern financial mathematics. These methods can be extended and applied in the area of actuarial science, which leads to unified methods of risk management in finance and insurance. This interdisciplinary book presents an accessible, thorough introduction to the main ideas, methods, and techniques that transform risk management into a quantitative science. It clearly discusses many important notions and facts from mathematics, finance, and insurance, showing how these areas are interconnected. The text includes exercises, along with hints and selected solutions.

Taylor & Francis

Risk Assessment and Decision Analysis with Bayesian Networks

9781439809105 04.12.2012 Oprawa: twarda

£ 41,99

Norman Fenton

Although many Bayesian Network (BN) applications are now in everyday use, BNs have not yet achieved mainstream penetration. Focusing on practical real-world problem solving and model building, as opposed to algorithms and theory, Risk Assessment and Decision Analysis with Bayesian Networks explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide powerful insights and better decision making. Provides all tools necessary to build and run realistic Bayesian network models Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliability, law, and more Introduces all necessary mathematics, probability, and statistics as needed The book first establishes the basics of probability, risk, and building and using BN models, then goes into the detailed applications. The underlying BN algorithms appear in appendices rather than the main text since there is no need to understand them to build and use BN models.

Taylor & Francis


www.abe.pl 19

Short-Memory Linear Processes and Econometric Applications

9780470924198 27.05.2011 Oprawa: twarda

£ 83,50

Kairat T. Mynbaev

This book serves as a comprehensive source of asymptotic results for econometric models with deterministic exogenous regressors. Such regressors include linear (more generally, piece-wise polynomial) trends, seasonally oscillating functions, and slowly varying functions including logarithmic trends, as well as some specifications of spatial matrices in the theory of spatial models. The book begins with central limit theorems (CLTs) for weighted sums of short memory linear processes. This part contains the analysis of certain operators in Lp spaces and their employment in the derivation of CLTs. The applications of CLTs are to the asymptotic distribution of various estimators for several econometric models. Among the models discussed are static linear models with slowly varying regressors, spatial models, time series autoregressions, and two nonlinear models (binary logit model and nonlinear model whose linearization contains slowly varying regressors). The estimation procedures include ordinary and nonlinear least squares, maximum likelihood, and method of moments.

Wiley

Statistical and Econometric Methods for Transportation Data Analysis

9781420082852 09.12.2010 Oprawa: twarda

£ 69,99

Simon P. Washington

Now in its second edition, this book describes tools that are commonly used in transportation data analysis. The first part of the text provides statistical fundamentals while the second part presents continuous dependent variable models. With a focus on count and discrete dependent variable models, the third part features new chapters on mixed logit models, logistic regression, and ordered probability models. The last section provides additional coverage of Bayesian statistical modeling, including Bayesian inference and Markov chain Monte Carlo methods. Data sets are available online to use with the modeling techniques discussed.

Taylor & Francis

Statistical and Machine-Learning Data Mining

9781439860915 31.01.2012 Oprawa: twarda

£ 52,99

Bruce Ratner

The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining. The first edition, titled Statistical Modeling and Analysis for Database Marketing: Effective Techniques for Mining Big Data, contained 17 chapters of innovative and practical statistical data mining techniques. In this second edition, renamed to reflect the increased coverage of machine-learning data mining techniques, the author has completely revised, reorganized, and repositioned the original chapters and produced 14 new chapters of creative and useful machine-learning data mining techniques. In sum, the 31 chapters of simple yet insightful quantitative techniques make this book unique in the field of data mining literature. The statistical data mining methods effectively consider big data for identifying structures (variables) with the appropriate predictive power in order to yield reliable and robust large-scale statistical models and analyses.

Taylor & Francis

Statistical Methods for Financial Engineering

9781439856949 05.04.2012 Oprawa: twarda

£ 57,99

Bruno Remillard

While many financial engineering books are available, the statistical aspects behind the implementation of stochastic models used in the field are often overlooked or restricted to a few well-known cases. Statistical Methods for Financial Engineering guides current and future practitioners on implementing the most useful stochastic models used in financial engineering. After introducing properties of univariate and multivariate models for asset dynamics as well as estimation techniques, the book discusses limits of the Black-Scholes model, statistical tests to verify some of its assumptions, and the challenges of dynamic hedging in discrete time. It then covers the estimation of risk and performance measures, the foundations of spot interest rate modeling, Levy processes and their financial applications, the properties and parameter estimation of GARCH models, and the importance of dependence models in hedge fund replication and other applications. It concludes with the topic of filtering and its financial applications. This self-contained book offers a basic presentation of stochastic models and addresses issues related to their implementation in the financial industry.

Taylor & Francis

Statistical Methods in Customer Relationship Management

9781119993209 28.09.2012 Oprawa: twarda

£ 60,00

Viba Kumar

Statistical Methods in Customer Relationship Management focuses on the quantitative and modeling aspects of customer management strategies that lead to future firm profitability, with emphasis on developing an understanding of Customer Relationship Management (CRM) models as the guiding concept for profitable customer management. To understand and explore the functioning of CRM models, this book traces the management strategies throughout a customer's tenure with a firm. Furthermore, the book explores in detail CRM models for customer acquisition, customer retention, customer acquisition and retention, customer churn, and customer win back. Statistical Methods in Customer Relationship Management: Provides an overview of a CRM system, introducing key concepts and metrics needed to understand and implement these models. Focuses on five CRM models: customer acquisition, customer retention, customer churn, and customer win back with supporting case studies. Explores each model in detail, from investigating the need for CRM models to looking at the future of the models.

Wiley

Statistical Techniques for Project Control

9781420083170 18.01.2012 Oprawa: twarda

£ 63,99

Badiru

A project can be simple or complex. In each case, proven project management processes must be followed. In all cases of project management implementation, control must be exercised in order to assure that project objectives are achieved. Statistical Techniques for Project Control seamlessly integrates qualitative and quantitative tools and techniques for project control. It fills the void that exists in the application of statistical techniques to project control. The book begins by defining the fundamentals of project management then explores how to temper quantitative analysis with qualitative human judgment that makes project control nebulous but also offers opportunities to innovate and be creative in achieving control. The authors then discuss the three factors (time, budget, and performance) that form the basis of the operating characteristics of a project that also help determine the basis for project control. They then focus on computational network techniques for project schedule (time) control.

Taylor & Francis


20 www.abe.pl

Statistics and Data Analysis for Financial Engineering

9781441977861 17.11.2010 Oprawa: twarda

€ 89,95

David Ruppert

Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data exercises, and integration of graphical and analytic methods for modeling and diagnosing modeling errors. Despite some overlap with the author's undergraduate textbook Statistics and Finance: An Introduction, this book differs from that earlier volume in several important aspects: it is graduate-level; computations and graphics are done in R; and many advanced topics are covered, for example, multivariate distributions, copulas, Bayesian computations, VaR and expected shortfall, and cointegration. The prerequisites are basic statistics and probability, matrices and linear algebra, and calculus. Some exposure to finance is helpful.

Springer

Stochastic Calculus for Finance

9780521175739 23.08.2012 Oprawa: miękka

£ 24,00

Marek Capinski

This book focuses specifically on the key results in stochastic processes that have become essential for finance practitioners to understand. The authors study the Wiener process and Ito integrals in some detail, with a focus on results needed for the Black-Scholes option pricing model. After developing the required martingale properties of this process, the construction of the integral and the Ito formula (proved in detail) become the centrepiece, both for theory and applications, and to provide concrete examples of stochastic differential equations used in finance. Finally, proofs of the existence, uniqueness and the Markov property of solutions of (general) stochastic equations complete the book. Using careful exposition and detailed proofs, this book is a far more accessible introduction to Ito calculus than most texts. Students, practitioners and researchers will benefit from its rigorous, but unfussy, approach to technical issues. Solutions to the exercises are available online.


Stochastic Finance: A Numeraire Approach

9781439812501 04.01.2011 Oprawa: twarda

£ 46,99

Jan Vecer

Unlike much of the existing literature, Stochastic Finance: A Numeraire Approach treats price as a number of units of one asset needed for an acquisition of a unit of another asset instead of expressing prices in dollar terms exclusively. This numeraire approach leads to simpler pricing options for complex products, such as barrier, lookback, quanto, and Asian options. Most of the ideas presented rely on intuition and basic principles, rather than technical computations. The first chapter of the book introduces basic concepts of finance, including price, no arbitrage, portfolio, financial contracts, the First Fundamental Theorem of Asset Pricing, and the change of numeraire formula. Subsequent chapters apply these general principles to three kinds of models: binomial, diffusion, and jump models. The author uses the binomial model to illustrate the relativity of the reference asset. In continuous time, he covers both diffusion and jump models in the evolution of price processes. The book also describes term structure models and numerous options, including European, barrier, lookback, quanto, American, and Asian.

Taylor & Francis

Stochastic Financial Models

9781420093452 20.01.2010 Oprawa: twarda

£ 46,99

Douglas Kennedy

Filling the void between surveys of the field with relatively light mathematical content and books with a rigorous, formal approach to stochastic integration and probabilistic ideas, Stochastic Financial Models provides a sound introduction to mathematical finance. The author takes a classical applied mathematical approach, focusing on calculations rather than seeking the greatest generality. Developed from the esteemed author's advanced undergraduate and graduate courses at the University of Cambridge, the text begins with the classical topics of utility and the mean-variance approach to portfolio choice. The remainder of the book deals with derivative pricing. The author fully explains the binomial model since it is central to understanding the pricing of derivatives by self-financing hedging portfolios. He then discusses the general discrete-time model, Brownian motion and the Black-Scholes model. The book concludes with a look at various interest-rate models. Concepts from measure-theoretic probability and solutions to the end-of-chapter exercises are provided in the appendices.

Taylor & Francis

Stochastic Methods for Pension Funds

9781848212046 27.01.2012 Oprawa: twarda

£ 113,00

Pierre de Volder

Quantitative finance has become these last years a extraordinary field of research and interest as well from an academic point of view as for practical applications. At the same time, pension issue is clearly a major economical and financial topic for the next decades in the context of the well-known longevity risk. Surprisingly few books are devoted to application of modern stochastic calculus to pension analysis. The aim of this book is to fill this gap and to show how recent methods of stochastic finance can be useful for to the risk management of pension funds. Methods of optimal control will be especially developed and applied to fundamental problems such as the optimal asset allocation of the fund or the cost spreading of a pension scheme. In these various problems, financial as well as demographic risks will be addressed and modelled.

Wiley

Stochastic Processes with Applications to Finance, Second Edition

9781439884829 22.05.2013 Oprawa: twarda

£ 57,99

Masaaki Kijima

This updated new edition presents an accessible treatment of the theory of discrete stochastic processes and their applications in finance. By presenting important results in discrete processes and showing how to transfer those results to their continuous counterparts, the text imparts an intuitive and practical understanding of the subject. It thoroughly explores applications to the pricing of derivative securities, corporate bonds, and credit derivatives. The book is suitable as a graduate-level text or as a reference for professionals in financial engineering, operations research, and mathematical and statistical finance.

Taylor & Francis


www.abe.pl 21

Technical Analysis of Stock Trends

9781439898185 04.01.2013 Oprawa: twarda

£ 63,99

Robert D. Edwards

Sixty-three years. Sixty-three years and Technical Analysis of Stock Trends still towers over the discipline of technical analysis like a mighty redwood. Originally published in 1948 and now in its Tenth Edition, this book remains the original and most important work on this topic. The book contains more than dry chart patterns, it passes down accumulated experience and wisdom from Dow to Schabacker, to Edwards, and to Magee, and has been modernized by W.H.C. Bassetti. Bassetti, a client, friend, and student of John Magee, one of the original authors, has converted the material on the craft of manual charting with TEKNIPLAT chart paper to modern computer software methods. In actuality, none of Magee's concepts have proven invalid and some of his work predated modern concepts such as beta and volatility. In addition, Magee described a trend-following procedure that is so simple and so elegant that Bassetti has adapted it to enable the general investor to use it to replace the cranky Dow Theory.

Taylor & Francis

The Black-Scholes Model

9781107001695 13.09.2012 Oprawa: twarda

£ 50,00

Marek Capinski

The Black-Scholes option pricing model is the first and by far the best-known continuous-time mathematical model used in mathematical finance. Here, it provides a sufficiently complex, yet tractable, testbed for exploring the basic methodology of option pricing. The discussion of extended markets, the careful attention paid to the requirements for admissible trading strategies, the development of pricing formulae for many widely traded instruments and the additional complications offered by multi-stock models will appeal to a wide class of instructors. Students, practitioners and researchers alike will benefit from the book's rigorous, but unfussy, approach to technical issues. It highlights potential pitfalls, gives clear motivation for results and techniques and includes carefully chosen examples and exercises, all of which make it suitable for self-study.


The Practice of Statistics for Business and Economics

9781429290142 01.01.2011 Oprawa: twarda

£ 52,99

Immerses students in the course immediately, involving them in practical, statistics-supported business decision making from the outset. Using real data to provide a context for tackling modern business problems, it introduces a range of core ideas early - including data production and interpretation.

Palgrave MacMillan

The Statistical Theory of Linear Systems

9781611972184 26.04.2012 Oprawa: miękka

£ 65,00

Edward James Hannan

Originally published in 1988, this classic text treats the identification of noisy (multi-input and multi-output) linear systems, particularly systems in ARMAX and state space form. The book covers structure theory, including identifiability, realisation and parameterisation of linear systems; analysis of topological and geometrical properties of parameter spaces and parameterisations for estimation and model selection; Gaussian maximum likelihood estimation of real-valued parameters of linear systems; model selection; calculation of estimates; and approximation by rational transfer functions. This edition includes an extensive new introduction that outlines developments since the book's original publication, such as subspace identification, data-driven local coordinates and the results on post-model-selection estimators. It also provides a section of errata and an updated bibliography. Researchers and graduate students studying time series statistics, systems identification, econometrics and signal processing will find this book useful for its interweaving of foundational information on structure theory and statistical analysis of linear systems.


Time Series: Applications to Finance with R and S-Plus(R)

9780470583623 22.10.2010 Oprawa: twarda

£ 76,95

Ngai Hang Chan

This book is designed to help readers grasp the conceptual underpinnings of time series modeling in order to gain a deeper understanding of the ever-changing dynamics of the financial world.It covers theory and application equally for readers from both financial and mathematical backgrounds. The book offers succinct coverage of standard topics in statistical time series -- such as forecasting and spectral analysis -- in a manner that is both technical and conceptual. An author website provides instructor notations and additional software subroutines, as well as complete solutions to the exercises in the text.

Wiley

Understanding Business Research

9781118134269 02.10.2012 Oprawa: twarda

£ 86,95

Bart L. Weathington

Designed to assist readers in the fields of business, finance, and management science, this book provides step-by-step coverage of the research process including research design, models for design, statistical considerations, and guidance on writing and presenting results. Filled with simple explanations, real-world examples, and numerous illustrations to help readers understand complex and abstract concepts, this is an ideal book for MBA-level students, as well as researchers and practitioners who want understand and utilize qualitative and quantitative research methods in applied scenarios.

Wiley

STATYSTYKA

MATEMATYCZNA


Statystyka matematyczna

www.abe.pl 23

A Brief Course in Mathematical Statistics

9780131751392 30.12.2006 Oprawa: twarda

£ 61,99

Elliot A. Tanis

For a one-semester course in Mathematical Statistics. This innovative new introduction to Mathematical Statistics covers the important concept of estimation at a point much earlier than other texts (Chapter 2). Thought-provoking pedagogical aids help students test their understanding and relate concepts to everyday life. Ideal for courses that offer a little less probability than usual, this book requires one year of calculus as a prerequisite.

Pearson Education

An Introduction to Mathematical Statistics and Its Applications

9780321766564 17.12.2010 Oprawa: miękka

£ 66,99

Richard J. Larsen

Noted for its integration of real-world data and case studies, this text offers sound coverage of the theoretical aspects of mathematical statistics. The authors demonstrate how and when to use statistical methods, while reinforcing the calculus that students have mastered in previous courses. Throughout theFifth Edition, the authors have added and updated examples and case studies, while also refining existing features that show a clear path from theory to practice.

Pearson Education

Antieigenvalue Analysis

9789814366281 27.12.2011 Oprawa: twarda

£ 59,00

Karl E. Gustafson

Karl Gustafson is the creator of the theory of antieigenvalue analysis. Its applications spread through fields as diverse as numerical analysis, wavelets, statistics, quantum mechanics, and finance. Antieigenvalue analysis, with its operator trigonometry, is a unifying language which enables new and deeper geometrical understanding of essentially every result in operator theory and matrix theory, together with their applications. This book will open up its methods to a wide range of specialists.

World Scientific Publishing

Applied Functional Analysis

9781420091953 02.03.2010 Oprawa: twarda

£ 83,00

J. Tinsley Oden

Through numerous illustrative examples and comments, Applied Functional Analysis, Second Edition demonstrates the rigor of logic and systematic, mathematical thinking. It presents the mathematical foundations that lead to classical results in functional analysis. More specifically, the text prepares students to learn the variational theory of partial differential equations, distributions and Sobolev spaces, and numerical analysis with an emphasis on finite element methods. While retaining the structure of its best-selling predecessor, this second edition includes revisions of many original examples, along with new examples that often reflect the authors' own vast research experiences and perspectives. This edition also provides many more exercises as well as a solutions manual for qualifying instructors. Each chapter begins with an extensive introduction and concludes with a summary and historical comments that frequently refer to other sources.

Taylor & Francis

Basic Practice of Statistics

9781464117664 27.06.2012 Oprawa: twarda

£ 53,99

David S. Moore

The Basic Practice of Statistics (BPS) is designed to give a working knowledge of the ideas and tools of practical statistics. Through accessible language and engaging examples and exercises based on real data, BPS explains both the mechanics and the concepts needed for statistical work. The Sixth Edition maintains the textbook's focus on statistical reasoning and real-life situations and data, while updating the organisation, exercises and examples to better reflect the needs and experiences of today's student. Here are a few highlights of the revised Sixth Edition: Updated Exercises and Examples: More than 20 percent of all examples and exercises have been revised or updated. Contemporary situations and up-to-date data cover a number of fields, including environmental studies, agriculture, business and finance, technology, biology, psychology, health and medicine, education, sports, and entertainment. New examples and exercises draw on topics such as texting while driving, CO2 emissions, the Gulf oil spill, and how weather influences tipping.

Palgrave MacMillan

Foundations of Statistical Algorithms

9781439878859 05.12.2013 Oprawa: twarda

£ 38,99

Claus Weihs

Reviewing the historical development of basic algorithms to illuminate the evolution of today’s more powerful statistical algorithms, this comprehensive textbook emphasizes recurring themes in all statistical algorithms including computation, assessment and verification, iteration, intuition, randomness, repetition and parallelization, and scalability. Unique in scope, it touches on topics not usually covered in similar books, namely, systematic verification and the scaling of many established techniques to very large databases. Broadly accessible, it offers examples, exercises, and selected solutions in each chapter as well as access to a supplementary website.

Taylor & Francis


24 www.abe.pl

Introduction to Mathematical Statistics

9780321824677 02.01.2012 Oprawa: miękka

£ 55,99

Robert V. Hogg

Introduction to Mathematical Statistics, Seventh Edition, offers a proven approach designed to provide you with an excellent foundation in mathematical statistics. Ample examples and exercises throughout the text illustrate concepts to help you gain a solid understanding of the material.

Pearson Education

Introduction to Partial Differential Equations for Scientists and Engineers Using Mathematica

9781466510562 05.08.2013 Oprawa: twarda

£ 57,99

Kuzman Adzievski

With a special emphasis on engineering and science applications, this textbook provides a mathematical introduction to PDEs at the undergraduate level. It takes a new approach to PDEs by presenting computation as an integral part of the study of differential equations. The authors use Mathematica(R) along with graphics to improve understanding and interpretation of concepts. They also present exercises in each chapter and solutions to selected examples. Topics discussed include Laplace and Fourier transforms as well as Sturm-Liouville boundary value problems.

Taylor & Francis

Linear Algebra and Matrix Computations for Statistics

9781420095388 06.10.2013 Oprawa: twarda

£ 49,99

Sudipto Banerjee

Linear algebra and the study of matrix algorithms have become fundamental to the development of statistical models. Using a vector-space approach, this book provides an understanding of the major concepts that underlie linear algebra and matrix analysis. Each chapter introduces a key topic, such as infinite-dimensional spaces, and provides illustrative examples. The authors examine recent developments in diverse fields such as spatial statistics, machine learning, data mining, and social network analysis. Complete in its coverage and accessible to students without prior knowledge of linear algebra, the text also includes results that are useful for traditional statistical applications.

Taylor & Francis

Mathematical Statistics with Resampling and R

9781118029855 12.08.2011 Oprawa: twarda

£ 86,95

Laura M. Chihara

Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. This groundbreaking book shows how to apply modern resampling techniques to mathematical statistics. Extensively class-tested to ensure an accessible presentation, Mathematical Statistics with Resampling and R utilizes the powerful and flexible computer language R to underscore the significance and benefits of modern resampling techniques. The book begins by introducing permutation tests and bootstrap methods, motivating classical inference methods. Striking a balance between theory, computing, and applications, the authors explore additional topics such as:

Exploratory data analysis

Calculation of sampling distributions

The Central Limit Theorem

Monte Carlo sampling

Wiley

Methods of Multivariate Analysis

9780470178966 27.07.2012 Oprawa: twarda

£ 86,95

Alvin C. Rencher

Filled with new and timely content, Methods of Multivariate Analysis, Third Edition provides examples and exercises based on more than sixty real data sets from a wide variety of scientific fields. It takes a "methods" approach to the subject, placing an emphasis on how students and practitioners can employ multivariate analysis in real-life situations. This Third Edition continues to explore the key descriptive and inferential procedures that result from multivariate analysis. Following a brief overview of the topic, the book goes on to review the fundamentals of matrix algebra, sampling from multivariate populations, and the extension of common univariate statistical procedures (including t-tests, analysis of variance, and multiple regression) to analogous multivariate techniques that involve several dependent variables. The latter half of the book describes statistical tools that are uniquely multivariate in nature, including procedures for discriminating among groups, characterizing low-dimensional latent structure in high-dimensional data, identifying clusters in data, and graphically illustrating relationships in low-dimensional space.

Wiley

Modern Mathematical Statistics with Applications

9781461403906 08.12.2011 Oprawa: twarda

€ 99,95

Jay L. Devore

Many mathematical statistics texts are heavily oriented toward a rigorous mathematical development of probability and statistics, without much attention paid to how statistics is actually used. In contrast, Modern Mathematical Statistics with Applications, Second Edition strikes a balance between mathematical foundations and statistical practice. In keeping with the recommendation that every math student should study statistics and probability with an emphasis on data analysis, accomplished authors Jay Devore and Kenneth Berk make statistical concepts and methods clear and relevant through careful explanations and a broad range of applications involving real data. The main focus of the book is on presenting and illustrating methods of inferential statistics that are useful in research. It begins with a chapter on descriptive statistics that immediately exposes the reader to real data. The next six chapters develop the probability material that bridges the gap between descriptive and inferential statistics. Point estimation, inferences based on statistical intervals, and hypothesis testing are then introduced in the next three chapters.

Springer


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Nonparametric Tests

9781848212695 07.12.2010 Oprawa: twarda

£ 96,95

Vilijandas Bagdonavieus

This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness, independence) of complete data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The incorrect use of many tests applying most statistical software is highlighted and discussed.

Wiley

Probability, Statistics, and Stochastic Processes

9780470889749 08.06.2012 Oprawa: twarda

£ 83,5

Peter Olofsson

Thoroughly updated to showcase the interrelationships between probability, statistics, and stochastic processes, Probability, Statistics, and Stochastic Processes, Second Edition prepares readers to collect, analyze, and characterize data in their chosen fields. Beginning with three chapters that develop probability theory and introduce the axioms of probability, random variables, and joint distributions, the book goes on to present limit theorems and simulation. The authors combine a rigorous, calculus-based development of theory with an intuitive approach that appeals to readers' sense of reason and logic. Including more than 400 examples that help illustrate concepts and theory, the Second Edition features new material on statistical inference and a wealth of newly added topics, including:

Consistency of point estimators

Large sample theory

Bootstrap simulation

Wiley

Sequential Analysis: Hypothesis Testing and Change-Point Detection

9781439838204 18.12.2013 Oprawa: twarda

£ 63,99

Michele Basseville

This book presents an overview of the theory and applications of sequential methods for hypothesis testing and changepoint detection in a wide range of engineering and environmental domains. It describes all the important theoretical developments with an emphasis on applications, including environmental surveillance, biomedical engineering, image processing, computer security, econometrics, and finance. The text covers more practical discrete-time models as well as very general cases that include both continuous- and discrete-time models. In addition, it presents the results for multi-hypothesis tests and detection-isolation procedures.

Taylor & Francis

Some Recent Advances in Mathematics and Statistics

9789814417976 05.05.2013 Oprawa: twarda

£ 63,00

Yogendra P. Chaubey

This volume consists of a series of research papers presented at the conference Statistics 2011 Canada: 5th Canadian Conference in Applied Statistics held together with the 20th conference of the Forum for Interdisciplinary Mathematics titled, "Interdisciplinary Mathematical & Statistical Techniques". These papers cover a wide range of topics from applications of Mathematics and Statistics such as Selection Bias in Surveys, Biomarker Discovery, Analysis of Earth Temperature, Supply Chain Management, Trimmed ANOVA, Zero-inflated Data, Non-Gaussian Time Series, and Stochastic Ordering; Classification, Nonparametric Test, and Jackknifed Ridge Estimator; Bayes Factor; Random Graphs and Error Correcting Codes; Meta Analysis; and National Health Plans and Risk Reduction through Supply Chain. The topics have been reviewed by experts in the field and the selected papers are expected to provide a topical resource on the subjects concerned.


Statistical Inference: A Short Course

9781118229408 26.07.2012 Oprawa: twarda

£ 76,95

Michael J. Panik

tatistical Inference: A Short Course offers a concise presentation of the essentials of basic statistics for readers seeking to acquire a working knowledge of statistical concepts, measures, and procedures. The author conducts tests on the assumption of randomness and normality, provides nonparametric methods when parametric approaches might not work. The book also explores how to determine a confidence interval for a population median while also providing coverage of ratio estimation, randomness, and causality. To ensure a thorough understanding of all key concepts, Statistical Inference provides numerous examples and solutions along with complete and precise answers to many fundamental questions, including:

How do we determine that a given dataset is actually a random sample?

With what level of precision and reliability can a population sample be estimated?

How are probabilities determined and are they the same thing as odds?

How can we predict the level of one variable from that of another?

Wiley

Statistical Methods for Stochastic Differential Equations

9781439849408 18.05.2012 Oprawa: twarda

£ 63,99

Mathieu Kessler

The seventh volume in the SemStat series, Statistical Methods for Stochastic Differential Equations presents current research trends and recent developments in statistical methods for stochastic differential equations. Written to be accessible to both new students and seasoned researchers, each self-contained chapter starts with introductions to the topic at hand and builds gradually towards discussing recent research. The book covers Wiener-driven equations as well as stochastic differential equations with jumps, including continuous-time ARMA processes and COGARCH processes. It presents a spectrum of estimation methods, including nonparametric estimation as well as parametric estimation based on likelihood methods, estimating functions, and simulation techniques. Two chapters are devoted to high-frequency data. Multivariate models are also considered, including partially observed systems, asynchronous sampling, tests for simultaneous jumps, and multiscale diffusions.

Taylor & Francis

STATYSTYKA MEDYCZNA

I BIOSTATYSTYKA


Statystyka medyczna i biostatystyka

www.abe.pl 27

A Handbook of Applied Statistics in Pharmacology

9781578087525 18.10.2012 Oprawa: twarda

£ 57,99

Katsumi Kobayashi

Statistics plays an important role in pharmacology and related subjects such as toxicology and drug discovery and development. Improper statistical tool selection for analyzing the data obtained from studies may result in wrongful interpretation of the performance or safety of drugs. This book communicates statistical tools in simple language. The examples used are similar to those that scientists encounter regularly in their research area. The authors provide cognitive clues for selection of appropriate tools to analyze the data obtained from the studies and explain how to interpret the result of the statistical analysis.

Taylor & Francis

A Mathematical Approach to Multilevel, Multiscale Health Interventions

9781848169968 31.03.2013 Oprawa: twarda

£ 65,00

Rodrick Wallace

This book, based on published studies, takes a unique perspective on the 30-year collapse of pharmaceutical industry productivity in the search for small molecule "magic bullet" interventions. The relentless escalation of inflation-adjusted cost per approved medicine in the United States - from $200 million in 1950 to $1.2 billion in 2010 - has driven industry giants to, at best, slavish imitation in drug design, and at worst, to abandonment of research and embracing of widespread fraud in consumer marketing. The book adapts formalism across a number of disciplines to the strategy for design of mutilevel interventions, focusing, first, on molecular, cellular, and larger scale examples, and extending the argument to the simplifications provided by the dominant role of social and cultural structures and processes in individual and population patterns of health and illness. In place of "magic bullets", we must now apply "magic strategies" that act across both the scale and level of organization. This book provides an introductory roadmap to the new tools that will be needed for the design of such strategies.


A Practical Guide to Cluster Randomised Trials in Health Services Research

9780470510476 03.02.2012 Oprawa: twarda

£ 50,00

Sandra Eldridge

Cluster randomisedtrials are trials in which groups (or clusters) of individuals are randomly allocated to different forms of treatment. In health care, these trials often compare different ways of managing a disease or promoting healthy living, in contrast to conventional randomised trials which randomise individuals to different treatments, classically comparing new drugs with a placebo. They are increasingly common in health services research. This book addresses the statistical, practical, and ethical issues arising from allocating groups of individuals, or clusters, to different interventions. Key features: Guides readers through the stages of conducting a trial, from recruitment to reporting. Presents a wide range of examples with particular emphasis on trials in health services research and primary care, with both principles and techniques explained. Topics are specifically presented in the order in which investigators think about issues when they are designing a trial. Combines information on the latest developments in the field together with a practical guide to the design and implementation of cluster randomised trials.

Wiley

A Statistical Approach to Genetic Epidemiology

9783527323890 25.03.2010 Oprawa: miękka

£ 65,00

Andreas Ziegler

This is the second edition of the successful textbook written by the prize-winning scientist Andreas Ziegler, former President of the German Region of the International Biometric Society, and Inke R. Konig, who has been teaching the subject over many years. The book gives a comprehensive introduction into the relevant statistical methods in genetic epidemiology. The second edition is thoroughly revised, partly rewritten and includes new chapters on traditional family studies and state-of-the-art genome-wide association studies. The book is ideally suited for advanced students in epidemiology, genetics, statistics, bioinformatics and biomathematics. Like in the first edition, the book contains many problems and solutions. E-learning Platform Edition: The paperback version of this book exclusively comes with an e-learning course created by Friedrich Pahlke. This e-learning course has been developed to complement the book and both provide a unique support tool for teaching the subject.

Wiley

Adaptive and Flexible Clinical Trials

9781439838327 25.08.2011 Oprawa: twarda

£ 59,99

Richard Chin

Adaptive clinical trial designs, unlike traditional fixed clinical trial designs, enable modification of studies in response to the data generated in the course of the trial. This often results in studies that are substantially faster, more efficient, and more powerful. Recent developments in web-based real-time data entry and advances in statistical methods have made adaptive clinical trials much more popular because they have become both more practical and attractive. However, there is paucity of resources that explain the mathematical framework and the practical considerations for adaptive designs without the use of highly technical statistical jargon. Suitable for readers in academia, industry, and government involved in drug development, Adaptive and Flexible Clinical Trials is the first book that comprehensively explains all essential aspects of adaptive clinical trials. Written in an easy-to-understand style aimed at clinicians and other non-statisticians, this book focuses not on the statistical details, but rather on the application of statistical concepts for adaptive clinical trials.

Taylor & Francis

Adaptive Design Methods in Clinical Trials

9781439839874 01.12.2011 Oprawa: twarda

£ 59,99

Shein-Chung Chow

With new statistical and scientific issues arising in adaptive clinical trial design, including the U.S. FDA's recent draft guidance, a new edition of one of the first books on the topic is needed. Adaptive Design Methods in Clinical Trials, Second Edition reflects recent developments and regulatory positions on the use of adaptive designs in clinical trials. It unifies the vast and continuously growing literature and research activities on regulatory requirements, scientific and practical issues, and statistical methodology. New to the Second Edition Along with revisions throughout the text, this edition significantly updates the chapters on protocol amendment and clinical trial simulation to incorporate the latest changes. It also includes five entirely new chapters on two-stage adaptive design, biomarker adaptive trials, target clinical trials, sample size and power estimation, and regulatory perspectives. Following in the tradition of its acclaimed predecessor, this second edition continues to offer an up-to-date resource for clinical scientists and researchers in academia, regulatory agencies, and the pharmaceutical industry.

Taylor & Francis


28 www.abe.pl

Advanced Bayesian Methods for Medical Test Accuracy

9781439838785 22.07.2011 Oprawa: twarda

£ 94,00

Lyle D. Broemeling

Useful in many areas of medicine and biology, Bayesian methods are particularly attractive tools for the design of clinical trials and diagnostic tests, which are based on established information, usually from related previous studies. Advanced Bayesian Methods for Medical Test Accuracy begins with a review of the usual measures such as specificity, sensitivity, positive and negative predictive value, and the area under the ROC curve. Then the scope expands to cover the more advanced topics of verification bias, diagnostic tests with imperfect gold standards, and those for which no gold standard is available. Promoting accuracy and efficiency of clinical trials, tests, and the diagnostic process, this book:

Enables the user to efficiently apply prior information via a WinBUGS package

Presents many ideas for the first time and goes far beyond the two standard references

Integrates reader agreement with different modalities—X-ray, CT Scanners, and more—to study their effect on medical test accuracy

Taylor & Francis

Agricultural Statistical Data Analysis Using Stata

9781466585850 10.07.2013 Oprawa: miękka

£ 49,99

George Boyhan

Practical statistics is a powerful tool often used by agricultural researchers and graduate students in investigating experimental design and analysis. One of the most widely-used statistical analysis software packages for this purpose is Stata. This book provides an introduction to Stata and its use in agricultural research, written in a format that is easy to read and user-friendly for beginners. It opens with a general discussion of statistical software, with additional chapters devoted to data entry and applications of Stata. More advanced topics include the use of Stata in regression analysis and in analyzing data that is typically not normally distributed.

Taylor & Francis

Agricultural Survey Methods

9780470743713 13.04.2010 Oprawa: twarda

£ 85,00

Roberto Benedetti

This book brings together the knowledge of academics and experts to increase the dissemination of the latest developments in agricultural statistics. Conducting a census, setting up frames and registers and using administrative data for statistical purposes are covered and issues arising from sample design and estimation, use of remote sensing, management of data quality and dissemination and analysis of survey data are explored.

Wiley

An Introduction to Bayesian Biostatistics

9781439800089 31.10.2010 Oprawa: twarda

£ 49,99

Valen E. Johnson

With discussions on many recent developments in Bayesian methodologies, An Introduction to Bayesian Biostatistics considers statistical issues in biomedical research, allowing for greater collaborations between biostatisticians and biomedical researchers. The text presents biostatistical methods from a Bayesian perspective. It includes an overview of Bayesian statistics, a discussion of rates and proportions with applications in clinical and other population-based studies, recent developments in clinical trial design, methods for evaluating censored data and diagnostic tests, and problems resulting from multiple comparisons.

Taylor & Francis

An Introduction to Statistics and Data Analysis for Bioinformatics Using R

9781439892367 17.10.2013 Oprawa: twarda

£ 49,99

Sorin Draghici

From the very basics to linear models, this book provides a complete introduction to statistics, data analysis, and R for bioinformatics research and applications. It covers ANOVA, cluster analysis, visualization tools, and machine learning techniques. Suitable for self-study and courses in computational biology, bioinformatics, statistics, and the life sciences, the text also presents examples of microarrays and bioinformatics applications. R code illustrates all of the essential concepts and is available on an accompanying CD-ROM.

Taylor & Francis

An Introduction to Survival Analysis Using Stata

9781597180740 06.10.2010 Oprawa: miękka

£ 49,99

Mario Cleves

An Introduction to Survival Analysis Using Stata, Third Edition provides the foundation to understand various approaches for analyzing time-to-event data. It is not only a tutorial for learning survival analysis but also a valuable reference for using Stata to analyze survival data. Although the book assumes knowledge of statistical principles, simple probability, and basic Stata, it takes a practical, rather than mathematical, approach to the subject. This updated third edition highlights new features of Stata 11, including competing-risks analysis and the treatment of missing values via multiple imputation. Other additions include new diagnostic measures after Cox regression, Stata's new treatment of categorical variables and interactions, and a new syntax for obtaining prediction and diagnostics after Cox regression. After reading this book, you will understand the formulas and gain intuition about how various survival analysis estimators work and what information they exploit. You will also acquire deeper, more comprehensive knowledge of the syntax, features, and underpinnings of Stata's survival analysis routines.

Taylor & Francis


www.abe.pl 29

Analysis of Capture-Recapture Data

9781439836590 15.11.2013 Oprawa: twarda

£ 49,99

Byron J T Morgan (University of Kent, UK

Written for researchers and graduate students in statistics, demography, and the social sciences, this reference provides an overview of capture-recapture—the statistical methods used to estimate population size. It covers model development and examines the technicalities of model diagnostics, an often overlooked aspect in practice. The authors provide examples to demonstrate the statistical nuances that are encountered with complex modeling. They use real-world data sets throughout the text and include stand-alone software programs, such as R and WinBUGS. Chapters contain exercises to assist with reader assimilation of the material.

Taylor & Francis

Analysis of Mixed Data

9781439884713 30.01.2013 Oprawa: twarda

£ 57,99

Alexander R. De Leon

A comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods & Applications summarizes the fundamental developments in the field. Case studies are used extensively throughout the book to illustrate interesting applications from economics, medicine and health, marketing, and genetics. Carefully edited for smooth readability and seamless transitions between chapters All chapters follow a common structure, with an introduction and a concluding summary, and include illustrative examples from real-life case studies in developmental toxicology, economics, medicine and health, marketing, and genetics An introductory chapter provides a "wide angle" introductory overview and comprehensive survey of mixed data analysis Blending theory and methodology, this book illustrates concepts via data from different disciplines. Analysis of Mixed Data: Methods & Applications traces important developments, collates basic results, presents terminology and methodologies, and gives an overview of statistical research applications. It is a valuable resource to methodologically interested as well as subject matter-motivated researchers in many disciplines.

Taylor & Francis

Analysis of Variance for Functional Data

9781439862735 11.07.2013 Oprawa: twarda

£ 63,99

Jin-Ting Zhang

This book presents the updated hypothesis testing methods developed in the last decade for FDA The subjects include reconstructing functional observations, Gaussian processes, analysis of variance for functional data, functional linear models, ill-conditioned functional linear models, diagnostics of functional observations, variable selection for functional linear models, Behrens-Fisher problems for functional data, test of equal covariance functions, and surface data analysis.

Taylor & Francis

Analyzing the Large Number of Variables in Biomedical and Satellite Imagery

9780470927144 19.04.2011 Oprawa: miękka

£ 43,50

Phillip I. Good

This book grew out of an online interactive offered through statcourse.com , and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to handle large arrays. Biologists and physicians, even though fully knowledgeable concerning the procedures used to generate microaarrays, EEGs, or MRIs, needed a full introduction to the resampling methods-the bootstrap, decision trees, and permutation tests, before the specialized methods applicable to large arrays could be introduced. As the intended audience for this book consists both of statisticians and of medical and biological research workers as well as all those research workers who make use of satellite imagery including agronomists and meteorologists, the book provides a step-by-step approach to not only the specialized methods needed to analyze the data from microarrays and images, but also to the resampling methods, step-down multi-comparison procedures, multivariate analysis, as well

Wiley

...

Applied Bayesian Hierarchical Methods

9781584887201 19.05.2010 Oprawa: twarda

£ 62,99

Peter D. Congdon

Bayesian methods facilitate the analysis of complex models and data structures. Emphasizing data applications, alternative modeling specifications, and computer implementation, this book provides a practical overview of methods for Bayesian analysis of hierarchical models. It focuses on applications in the health and social sciences, particularly spatial and clinical epidemiology, political science, and econometrics. The text also covers such topics as Bayesian factor analysis and includes a range of worked examples in WinBUGS, BayesX, and R. The author demonstrates not only the flexibility of Bayesian techniques but also the rigor that can be obtained by using Bayesian model checking techniques.

Taylor & Francis

Applied Biostatistics for the Health Sciences

9780470147641 13.01.2010 Oprawa: twarda

£ 86,95

Richard J. Rossi

Biostatistics is quickly becoming one of the most important areas of statistics due to the tremendous increase in health care needs. This book successfully introduces the terminology, concepts, and correct uses and interpretation of biostatistics. It is ideal for practitioners as well as students going into health care fields. Pedagogical features include formulas highlighted in text boxes and chapter summaries that highlight key vocabulary and concepts for the chapter. An accompanying Web site provides both MINITAB(r) and Microsoft(r) Office Excel(r) data files data for the case studies and exercises that are contained in the text.

Wiley


30 www.abe.pl

Applied Linear Models with SAS

9780521761598 10.05.2010 Oprawa: twarda

£ 48,00

Daniel Zelterman

This textbook for a second course in basic statistics for undergraduates or first-year graduate students introduces linear regression models and describes other linear models including Poisson regression, logistic regression, proportional hazards regression, and nonparametric regression. Numerous examples drawn from the news and current events with an emphasis on health issues illustrate these concepts. Assuming only a pre-calculus background, the author keeps equations to a minimum and demonstrates all computations using SAS. Most of the programs and output are displayed in a self-contained way, with an emphasis on the interpretation of the output in terms of how it relates to the motivating example. Plenty of exercises conclude every chapter. All of the datasets and SAS programs are available from the book's website, along with other ancillary material.


Applied Meta-Analysis with R

9781466505995 09.07.2013 Oprawa: twarda

£ 57,99

Ding-Geng Chen

This book provides a thorough presentation of meta-analysis for clinical trial data with detailed step-by-step illustrations on implementation in R. The examples are based on actual experience of the authors in many areas of clinical drug development. Actual examples of clinical trials are presented and after understanding the application, the various clinical trial methods inherent in the clinical trials are identified. Presentation reflects a case study approach with R.

Taylor & Francis

Applied Statistics for Network Biology: Methods in Systems Biology

9783527327508 20.04.2011 Oprawa: twarda

£ 115,00

Matthias Dehmer

The book introduces to the reader a number of cutting edge statistical methods which can e used for the analysis of genomic, proteomic and metabolomic data sets. In particular in the field of systems biology, researchers are trying to analyze as many data as possible in a given biological system (such as a cell or an organ). The appropriate statistical evaluation of these large scale data is critical for the correct interpretation and different experimental approaches require different approaches for the statistical analysis of these data. This book is written by biostatisticians and mathematicians but aimed as a valuable guide for the experimental researcher as well computational biologists who often lack an appropriate background in statistical analysis.

Wiley

Artificial Neural Networks in Biological and Environmental Analysis

9781439812587 14.02.2011 Oprawa: twarda

£ 59,99

Grady Hanrahan

Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence research. Catalyzed by the upsurge in computational power and availability, and made widely accessible with the co-evolution of software, algorithms, and methodologies, artificial neural networks have had a profound impact in the elucidation of complex biological, chemical, and environmental processes. Artificial Neural Networks in Biological and Environmental Analysis provides an in-depth and timely perspective on the fundamental, technological, and applied aspects of computational neural networks. Presenting the basic principles of neural networks together with applications in the field, the book stimulates communication and partnership among scientists in fields as diverse as biology, chemistry, mathematics, medicine, and environmental science. This interdisciplinary discourse is essential not only for the success of independent and collaborative research and teaching programs, but also for the continued interest in the use of neural network tools in scientific inquiry.

Taylor & Francis

Bayesian Adaptive Methods for Clinical Trials

9781439825488 20.07.2010 Oprawa: twarda

£ 62,99

Donald A. Berry

Already popular in the analysis of medical device trials, adaptive Bayesian designs are increasingly being used in drug development for a wide variety of diseases and conditions, from Alzheimer's disease and multiple sclerosis to obesity, diabetes, hepatitis C, and HIV. Written by leading pioneers of Bayesian clinical trial designs, Bayesian Adaptive Methods for Clinical Trials explores the growing role of Bayesian thinking in the rapidly changing world of clinical trial analysis. The book first summarizes the current state of clinical trial design and analysis and introduces the main ideas and potential benefits of a Bayesian alternative. It then gives an overview of basic Bayesian methodological and computational tools needed for Bayesian clinical trials. With a focus on Bayesian designs that achieve good power and Type I error, the next chapters present Bayesian tools useful in early (Phase I) and middle (Phase II) clinical trials as well as two recent Bayesian adaptive Phase II studies: the BATTLE and ISPY-2 trials. In the following chapter on late (Phase III) studies, the authors emphasize modern adaptive methods and seamless Phase II-III trials for maximizing information usage and minimizing trial duration.

Taylor & Francis

Bayesian Analysis Made Simple: An Excel GUI for WinBUGS

9781439839546 02.09.2011 Oprawa: twarda

£ 46,99

Phil Woodward

From simple NLMs to complex GLMMs, this book describes how to use the GUI for WinBUGS - BugsXLA - an Excel add-in written by the author that allows a range of Bayesian models to be easily specified. With case studies throughout, the text shows how to routinely apply even the more complex aspects of model specification, such as GLMMs, outlier robust models, random effects Emax models, auto-regressive errors, and Bayesian variable selection. It provides brief, up-to-date discussions of current issues in the practical application of Bayesian methods. The author also explains how to obtain free software to get started immediately.

Taylor & Francis


www.abe.pl 31

Bayesian Biostatistics

9780470018231 27.07.2012 Oprawa: twarda

£ 45,00

Andrew B. Lawson

The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian methodology has taken place partly due to an increasing number of practitioners valuing the Bayesian paradigm as matching that of scientific discovery. In addition, computational advances have allowed for more complex models to be fitted routinely to realistic data sets. Through examples, exercises and a combination of introductory and more advanced chapters, this book provides an invaluable understanding of the complex world of biomedical statistics illustrated via a diverse range of applications taken from epidemiology, exploratory clinical studies, health promotion studies, image analysis and clinical trials.

Wiley

Bayesian Disease Mapping

9781466504813 24.04.2013 Oprawa: twarda

£ 57,99

Andrew B. Lawson

Since the publication of the first edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Second Edition provides an up-to-date, cohesive account of the full range of Bayesian disease mapping methods and applications. A biostatistics professor and WHO advisor, the author illustrates the use of Bayesian hierarchical modeling in the geographical analysis of disease through a range of real-world datasets. New to the Second Edition Three new chapters on regression and ecological analysis, putative hazard modeling, and disease map surveillance Expanded material on case event modeling and spatiotemporal analysis New and updated examples Two new appendices featuring examples of integrated nested Laplace approximation (INLA) and conditional autoregressive (CAR) models In addition to these new topics, the book covers more conventional areas such as relative risk estimation, clustering, spatial survival analysis, and longitudinal analysis.

Taylor & Francis

Bayesian Inference for Gene Expression and Proteomics

9781107636989 30.04.2012 Oprawa: miękka

£ 30,00

Kim-Anh Do

The interdisciplinary nature of bioinformatics presents a research challenge in integrating concepts, methods, software and multiplatform data. Although there have been rapid developments in new technology and an inundation of statistical methods for addressing other types of high-throughput data, such as proteomic profiles that arise from mass spectrometry experiments. This book discusses the development and application of Bayesian methods in the analysis of high-throughput bioinformatics data that arise from medical, in particular, cancer research, as well as molecular and structural biology. The Bayesian approach has the advantage that evidence can be easily and flexibly incorporated into statistical methods. A basic overview of the biological and technical principles behind multi-platform high-throughput experimentation is followed by expert reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and clustering, motif discovery and regulatory networks, and Bayesian networks and gene interactions.


Bayesian Methods in Epidemiology

9781466564978 05.11.2013 Oprawa: twarda

£ 57,99

Broemeling

A valuable reference for epidemiologists, biostatisticians, and graduate students, this book presents an introduction to epidemiology that uses Bayesian statistical methods to explore the association between disease and risk. It includes a brief introduction to the concepts of epidemiology, the basic elements of Bayesian statistics, and the types of epidemiologic studies that can be analyzed by Bayesian methods. For each problem in epidemiology, the Bayesian analysis is derived and explained.

Taylor & Francis

Bayesian Methods in Health Economics

9781439895559 16.11.2012 Oprawa: twarda

£ 57,99

Gianluca Baio

Health economics is concerned with the study of the cost-effectiveness of health care interventions. This book provides an overview of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it presents Bayesian statistics using accessible mathematics. The next chapters describe the theory and practice of cost-effectiveness analysis from a statistical viewpoint, and Bayesian computation, notably MCMC. The final chapter presents three detailed case studies covering cost-effectiveness analyses using individual data from clinical trials, evidence synthesis and hierarchical models and Markov models. The text uses WinBUGS and JAGS with datasets and code available online.

Taylor & Francis

Benefit Risk Analysis in Pharmaceutical Research and Development

9781439867945 05.09.2013 Oprawa: twarda

£ 57,99

Sashegyi

This work presents an overview of benefit-risk assessment approaches for pharmaceutical research and development. It covers various decision-making points along the R&D spectrum that would benefit from benefit risk analysis, including during lead development and optimization, early and late planning of clinical development, and regulatory review. The book also looks at health outcomes and comparative effectiveness analysis. In addition, the authors address current and future barriers to using risk-benefit modeling, including greater regulatory acceptance.

Taylor & Francis


32 www.abe.pl

Biosimilars: Design and Analysis of Follow-on Biologics

9781466579699 23.08.2013 Oprawa: twarda

£ 57,99

Shein-Chung Chow

This is the first book entirely devoted to the design and analysis for assessment of biosimilarity and drug interchangeability of biosimilars, and test for comparability in manufacturing processes of biologic products. It covers all of the statistical issues that may occur in biosimilar studies under various study designs at various stages of research and development of biologic products.

Taylor & Francis

Biostatistical Analysis

9780132065023 01.08.2007 Oprawa: miękka

£ 56,99

Jerrold H. Zar

Zar's Biostatistical Analysis, Fifth Edition, is the ideal textbook for graduate and undergraduate students seeking practical coverage of statistical analysis methods used by researchers to collect, summarize, analyze and draw conclusions from biological research. The latest edition of this best-selling textbook is both comprehensive and easy to read. It is suitable as an introduction for beginning students and as a comprehensive reference book for biological researchers and for advanced students. This book is appropriate for a one- or two-semester, junior or graduate-level course in biostatistics, biometry, quantitative biology, or statistics, and assumes a prerequisite of algebra.

Pearson Education

Biostatistical Methods: The Assessment of Relative Risks

9780470508220 25.01.2011 Oprawa: twarda

£ 87,50

John M. Lachin

Praise for the First Edition "...an excellent textbook ...an indispensable reference for biostatisticians and epidemiologists." - International Statistical Institute A new edition of the definitive guide to classical and modern methods of biostatistics Biostatistics consists of various quantitative techniques that are essential to the description and evaluation of relationships among biologic and medical phenomena. Biostatistical Methods: The Assessment of Relative Risks, Second Edition develops basic concepts and derives an expanded array of biostatistical methods through the application of both classical statistical tools and more modern likelihood-based theories. With its fluid and balanced presentation, the book guides readers through the important statistical methods for the assessment of absolute and relative risks in epidemiologic studies and clinical trials with categorical, count, and event-time data. Presenting a broad scope of coverage and the latest research on the topic, the author begins with categorical data analysis methods for cross-sectional, prospective, and retrospective studies of binary, polychotomous, and ordinal data.

Wiley

Biostatistics for the Biological and Health Sciences

9780321546494 23.11.2007 Oprawa: twarda

£ 69,99

Marc Triola

Biostatistics for the Biological and Health Sciences is the result of collaboration between the author of the #1 statistics book in the country and an expert in the biological sciences field. The major objective of this book is to provide the best possible introduction to statistics for students and professors in the biological, life, and health sciences. This goal is realized through a friendly writing style, content that reflects the important features of a modern introductory statistics course, an abundance of real data and biological applications, and a variety of pedagogical components to help students succeed in their study of biological statistics.

Pearson Education

Biostatistics in Action

9781439879849 15.09.2013 Oprawa: twarda

£ 57,99

Florin Vaida (University of California, San Diego,

Designed for medical researchers without a background in statistics, this text takes readers easily from basic boxplots and t-tests to linear and logistic regression and survival analysis to more complex generalized linear and nonlinear models and longitudinal data analysis. With many examples and data drawn from real biomedical research, the book focuses on practical statistical analyses using SPSS. It requires no prior statistical background and only assumes familiarity with elementary mathematics. A solutions manual and figures slides are available with qualifying course adoption.

Taylor & Francis

Biostatistics with R

9781461413011 17.12.2011 Oprawa: miękka

€ 54,95

Babak Shahbaba

Biostatistics with R is designed to mimic the interaction between theory and application in statistics. Most topics are motivated by real examples first, and after discussing a topic, the author shows how it can be applied to the problem that motivated it. Topics include data exploration, estimation, and clustering with two appendices on installing and running R and R-commander. This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools. The book is intended for a wide range of readers from people with relatively strong analytical background, who want to learn about statistics and its application in biology, to non-statistician scientists, who use statistical methods in their research.

Springer


www.abe.pl 33

Biostatistics: A Computing Approach

9781584888345 09.01.2012 Oprawa: twarda

£ 41,99

Stewart Anderson

The emergence of high-speed computing has facilitated the development of many exciting statistical and mathematical methods in the last 25 years, broadening the landscape of available tools in statistical investigations of complex data. Biostatistics: A Computing Approach focuses on visualization and computational approaches associated with both modern and classical techniques. Furthermore, it promotes computing as a tool for performing both analyses and simulations that can facilitate such understanding. As a practical matter, programs in R and SAS are presented throughout the text. In addition to these programs, appendices describing the basic use of SAS and R are provided. Teaching by example, this book emphasizes the importance of simulation and numerical exploration in a modern-day statistical investigation. A few statistical methods that can be implemented with simple calculations are also worked into the text to build insight about how the methods really work.

Taylor & Francis

Biosurveillance: Methods and Case Studies

9781439800461 05.11.2010 Oprawa: twarda

£ 62,99

Taha Kass-Hout

Biosurveillance: Methods and Case Studies addresses the problems and promise of timely biosurveillance, with a particular focus on the role it must play. It describes a general concept of operations with reference information system architecture and investigates the primary assumptions that are needed to assure the success of a biosurveillance initiative. Numerous case studies focus on local, regional, and national implementation. The book also explores future innovations in biosurveillance, including advances in analytical methods, modeling, and simulation.

Taylor & Francis

Causal Inference

9781420076165 05.08.2013 Oprawa: twarda

£ 31,99

Miguel A. Hernan

The application of causal inference methods is growing exponentially in fields that deal with observational data. Written by pioneers in the field, this practical book presents an authoritative yet accessible overview of the methods and applications of causal inference. With a wide range of detailed, worked examples using real epidemiologic data as well as software for replicating the analyses, the text provides a thorough introduction to the basics of the theory for non-time-varying treatments and the generalization to complex longitudinal data.

Taylor & Francis

Clinical Trial Data Analysis Using R

9781439840207 17.12.2010 Oprawa: twarda

£ 59,99

Ding-Geng (Din) Chen

Too often in biostatistical research and clinical trials, a knowledge gap exists between developed statistical methods and the applications of these methods. Filling this gap, Clinical Trial Data Analysis Using R provides a thorough presentation of biostatistical analyses of clinical trial data and shows step by step how to implement the statistical methods using R. The book's practical, detailed approach draws on the authors' 30 years of real-world experience in biostatistical research and clinical development. Each chapter presents examples of clinical trials based on the authors' actual experiences in clinical drug development. Various biostatistical methods for analyzing the data are then identified. The authors develop analysis code step by step using appropriate R packages and functions. This approach enables readers to gain an understanding of the analysis methods and R implementation so that they can use R to analyze their own clinical trial data. With step-by-step illustrations of R implementations, this book shows how to easily use R to simulate and analyze data from a clinical trial.

Taylor & Francis

Clinical Trial Design

9780470581711 09.02.2012 Oprawa: twarda

£ 76,95

Guosheng Yin

A balanced treatment of the theories, methodologies, and design issues involved in clinical trials using statistical methods There has been enormous interest and development in Bayesian adaptive designs, especially for early phases of clinical trials. However, for phase III trials, frequentist methods still play a dominant role through controlling type I and type II errors in the hypothesis testing framework. From practical perspectives, Clinical Trial Design: Bayesian and Frequentist Adaptive Methods provides comprehensive coverage of both Bayesian and frequentist approaches to all phases of clinical trial design. Before underpinning various adaptive methods, the book establishes an overview of the fundamentals of clinical trials as well as a comparison of Bayesian and frequentist statistics. Recognizing that clinical trial design is one of the most important and useful skills in the pharmaceutical industry, this book provides detailed discussions on a variety of statistical designs, their properties, and operating characteristics for phase I, II, and III clinical trials as well as an introduction to phase IV trials. Many practical issues and challenges arising in clinical trials are addressed.

Wiley

Clinical Trial Methodology

9781584889175 20.07.2010 Oprawa: twarda

£ 62,99

Karl E. Peace

Drawing from the authors' courses on the subject as well as the first author's more than 30 years working in the pharmaceutical industry, "Clinical Trial Methodology" emphasizes the importance of statistical thinking in clinical research and presents the methodology as a key component of clinical research. From ethical issues and sample size considerations to adaptive design procedures and statistical analysis, the book first covers the methodology that spans every clinical trial regardless of the area of application. Bioequivalence clinical trials are then discussed. The final chapters incorporate real-world case studies of clinical trials from the authors' own experiences.

Taylor & Francis


34 www.abe.pl

Clinical Trials Dictionary

9781118295151 28.09.2012 Oprawa: twarda

£ 90,50

Curtis L. Meinert

A thoroughly updated new edition of the essential reference on the design, practice, and analysis of clinical trials Clinical Trials Dictionary: Terminology and Usage Recommendations, Second Edition presents clear, precise, meticulously detailed entries on all aspects of modern-day clinical trials. Written and compiled by one of the world's leading clinical trialists, this comprehensive volume incorporates areas of medicine, statistics, epidemiology, computer science, and bioethics--providing a treasure trove of key terms and ideas. This new edition continues to supply readers with the A--Z terminology needed to design, conduct, and analyze trials, introducing a vocabulary for the characterization and description of related features and activities. More than 300 new entries are now included, reflecting the current usage practices and conventions in the field, along with usage notes with recommendations on when to use the term in question. Detailed biographical notes highlight prominent historical figures and institutions in the field, and an extensive bibliography has been updated to provide readers with additional resources for further study.

Wiley

Clinical Trials Handbook

9781118218464 11.12.2012 Oprawa: twarda

£ 100,00

Curtis L. Meinert

The success or failure of clinical trials hinges on hundreds of details that need to be developed, often under less than ideal conditions. Written by one of the world's leading trialists, Clinical Trials Handbook: Design and Conduct provides clinicians with a complete guide to designing, conducting, and evaluating clinical trials—teaching them how to simplify the process and avoid costly mistakes. The author draws on his extensive clinical trials experience to outline all steps employed in setting up and running clinical trials, from budgeting and fundraising to publishing the results. Along the way, practical advice is offered while also addressing a mix of logistical, ethical, psychological, behavioral, and administrative issues inherent to clinical trials. Topics of coverage include:

Protocols for drug masking, controls, and treatment randomization

Consent, enrollment, eligibility, and follow-up procedures

Different types of sample size design and data collection and processing

Working with study centers, research staff, and various committees

Wiley

Clinical Trials in Oncology

9781439814482 30.05.2012 Oprawa: twarda

£ 63,99

John Crowley

The third edition of the bestselling Clinical Trials in Oncology provides a concise, nontechnical, and thoroughly up-to-date review of methods and issues related to cancer clinical trials. The authors emphasize the importance of proper study design, analysis, and data management and identify the pitfalls inherent in these processes. In addition, the book has been restructured to have separate chapters and expanded discussions on general clinical trials issues, and issues specific to Phases I, II, and III. New sections cover innovations in Phase I designs, randomized Phase II designs, and overcoming the challenges of array data. Although this book focuses on cancer trials, the same issues and concepts are important in any clinical setting. As always, the authors use clear, lucid prose and a multitude of real-world examples to convey the principles of successful trials without the need for a strong statistics or mathematics background. Armed with Clinical Trials in Oncology, Third Edition, clinicians and statisticians can avoid the many hazards that can jeopardize the success of a trial.

Taylor & Francis

Clustering in Bioinformatics and Drug Discovery

9781439816783 16.11.2010 Oprawa: twarda

£ 56,99

John David MacCuish

This book presents an introduction to cluster analysis and algorithms in the context of drug discovery clustering applications. It provides the key to understanding applications in clustering large combinatorial libraries (in the millions of compounds) for compound acquisition, HTS results, 3D lead hopping, gene expression for toxicity studies, and protein reaction data. Bringing together common and emerging methods, the text covers topics peculiar to drug discovery data, such as asymmetric measures and asymmetric clustering algorithms as well as clustering ambiguity and its relation to fuzzy clustering and overlapping clustering algorithms.

Taylor & Francis

Comparing Clinical Measurement Methods

9780470694237 06.08.2010 Oprawa: twarda

£ 54,95

Bendix Carstensen

This book provides a practical guide to analysis of simple and complex method comparison data, using Stata, SAS and R. It takes the classical Limits of Agreement as a starting point, and presents it in a proper statistical framework. The model serves as a reference for reporting sources of variation and for providing conversion equations and plots between methods for practical use, including prediction uncertainty. Presents a modeling framework for analysis of data and reporting of results from comparing measurements from different clinical centers and/or different methods. Provides the practical tools for analyzing method comparison studies along with guidance on what to report and how to plan comparison studies and advice on appropriate software. Illustrated throughout with computer examples in R. Supported by a supplementary website hosting an R-package that performs the major part of the analyses needed in the area. Examples in SAS and Stata for the most common situations are also provided.

Wiley

Comparing Groups: Randomization and Bootstrap Methods Using R

9780470621691 01.07.2011 Oprawa: twarda

£ 55,50

Andrew S. Zieffler

A hands-on guide to using R to carry out key statistical practices in educational and behavioral sciences research Computing has become an essential part of the day-to-day practice of statistical work, broadening the types of questions that can now be addressed by research scientists applying newly derived data analytic techniques. Comparing Groups: Randomization and Bootstrap Methods Using R emphasizes the direct link between scientific research questions and data analysis. Rather than relying on mathematical calculations, this book focus on conceptual explanations and the use of statistical computing in an effort to guide readers through the integration of design, statistical methodology, and computation to answer specific research questions regarding group differences. Utilizing the widely-used, freely accessible R software, the authors introduce a modern approach to promote methods that provide a more complete understanding of statistical concepts. Following an introduction to R, each chapter is driven by a research question, and empirical data analysis is used to provide answers to that question.

Wiley


www.abe.pl 35

Controversial Statistical Issues in Clinical Trials

9781439849613 22.06.2011 Oprawa: twarda

£ 66,99

Shein-Chung Chow

In clinical trial practice, controversial statistical issues inevitably occur regardless of the compliance with good statistical practice and good clinical practice. But by identifying the causes of the issues and correcting them, the study objectives of clinical trials can be better achieved. Controversial Statistical Issues in Clinical Trials covers commonly encountered controversial statistical issues in clinical trials and, whenever possible, makes recommendations to resolve these problems. The book focuses on issues occurring at various stages of clinical research and development, including early-phase clinical development (such as bioavailability/bioequivalence), bench-to-bedside translational research, and late-phase clinical development. Numerous examples illustrate the impact of these issues on the evaluation of the safety and efficacy of the test treatment under investigation. The author also offers recommendations regarding possible resolutions of the problems. Written by one of the preeminent experts in the field, this book provides a useful desk reference and state-of-the art examination of problematic issues in clinical trials for scientists in the pharmaceutical industry, medical/statistical reviewers in government regulatory

Taylor & Francis

...

Correlated Frailty Models in Survival Analysis

9781420073881 03.08.2010 Oprawa: twarda

£ 69,99

Andreas Wienke

The concept of frailty offers a convenient way to introduce unobserved heterogeneity and associations into models for survival data. In its simplest form, frailty is an unobserved random proportionality factor that modifies the hazard function of an individual or a group of related individuals. Frailty Models in Survival Analysis presents a comprehensive overview of the fundamental approaches in the area of frailty models. The book extensively explores how univariate frailty models can represent unobserved heterogeneity. It also emphasizes correlated frailty models as extensions of univariate and shared frailty models. The author analyzes similarities and differences between frailty and copula models; discusses problems related to frailty models, such as tests for homogeneity; and describes parametric and semiparametric models using both frequentist and Bayesian approaches. He also shows how to apply the models to real data using the statistical packages of R, SAS, and Stata. The appendix provides the technical mathematical results used throughout.

Taylor & Francis

Data Analysis and Statistics for Geography, Environmental Science & Engineering

9781439885017 28.12.2012 Oprawa: twarda

£ 63,99

Miguel F. Acevedo

Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustainability, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applicable across a variety of science and engineering disciplines. Learn How to Use a Variety of Data Analysis and Statistics Methods Based on the author's many years of teaching graduate and undergraduate students, this textbook emphasizes hands-on learning. Organized into two parts, it allows greater flexibility using the material in various countries and types of curricula. The first part covers probability, random variables and inferential statistics, applications of regression, time series analysis, and analysis of spatial point patterns. The second part uses matrix algebra to address multidimensional problems.

Taylor & Francis

Data Analysis in Forensic Science

9780470998359 09.04.2010 Oprawa: twarda

£ 55,00

Franco Taroni

This is the first text to examine the use of statistical methods in forensic science and bayesian statistics in combination. The book is split into two parts: Part One concentrates on the philosophies of statistical inference. Chapter One examines the differences between the frequentist, the likelihood and the Bayesian perspectives, before Chapter Two explores the Bayesian decision-theoretic perspective further, and looks at the benefits it carries. Part Two then introduces the reader to the practical aspects involved: the application, interpretation, summary and presentation of data analyses are all examined from a Bayesian decision-theoretic perspective. A wide range of statistical methods, essential in the analysis of forensic scientific data is explored. These include the comparison of allele proportions in populations, the comparison of means, the choice of sampling size, and the discrimination of items of evidence of unknown origin into predefined populations. Throughout this practical appraisal there are a wide variety of examples taken from the routine work of forensic scientists. These applications are demonstrated in the ever-more popular R language.

Wiley

Design and Analysis of Bridging Studies

9781439846346 08.08.2012 Oprawa: twarda

£ 63,99

Chin-Fu Hsiao

As the development of medicines has become more globalized, the geographic variations in the efficacy and safety of pharmaceutical products need to be addressed. To accelerate the product development process and shorten approval time, researchers are beginning to design multiregional trials that incorporate subjects from many countries around the world under the same protocol. Design and Analysis of Bridging Studies addresses the issues arising from bridging studies and multiregional clinical trials. For bridging studies, the book explores ethnic sensitivity, the necessity of bridging studies, types of bridging studies, and the assessment of similarity between regions based on bridging evidence. For multiregional clinical trials, the text considers regional differences, assesses the consistency of treatment effect across regions, and discusses sample size determination for each region. Taking into account the International Conference Harmonisation (ICH) E5 framework for bridging studies, the book provides a unified summary of the growing literature and research activities in this area.

Taylor & Francis

Design and Analysis of Experiments in the Health Sciences

9780470127278 29.01.2010 Oprawa: twarda

£ 40,50

Gerald Van Belle

An accessible and practical approach to the design and analysis of experiments in the health sciences Design and Analysis of Experiments in the Health Sciences provides a balanced presentation of design and analysis issues relating to data in the health sciences and emphasizes new research areas, the crucial topic of clinical trials, and state-of-the- art applications. Advancing the idea that design drives analysis and analysis reveals the design, the book clearly explains how to apply design and analysis principles in animal, human, and laboratory experiments while illustrating topics with applications and examples from randomized clinical trials and the modern topic of microarrays. The authors outline the following five types of designs that form the basis of most experimental structures: Completely randomized designs Randomized block designs Factorial designs Multilevel experiments Repeated measures designs A related website features a wealth of data sets that are used throughout the book, allowing readers to work hands-on with the material. In addition, an extensive bibliography outlines additional resources for further study of the presented topics.

Wiley


36 www.abe.pl

Design and Analysis of Non-inferiority Trials

9781584888048 13.07.2011 Oprawa: twarda

£ 59,99

Mark D. Rothmann

The increased use of non-inferiority analysis has been accompanied by a proliferation of research on the design and analysis of non-inferiority studies. "Design and Analysis of Non-Inferiority Trials" brings together this body of research and confronts the issues involved in the design of a non-inferiority trial. Using examples from real clinical trials, the book discusses general and regulatory issues and illustrates how they affect analysis. Each chapter begins with a non-technical introduction, so the subject is easily understood by those without prior knowledge of non-inferiority clinical trials. This book also provides detailed mathematical approaches along with their mathematical properties.

Taylor & Francis

Design and Analysis of Quality of Life Studies in Clinical Trials

9781420061178 07.01.2010 Oprawa: twarda

£ 62,99

Diane L. Fairclough

Focusing on longitudinal studies, Design and Analysis of Quality of Life Studies in Clinical Trials, Second Edition addresses design and analysis aspects in enough detail so that readers can apply statistical methods, such as mixed effect models, to their own studies. The author illustrates the implementation of the methods using the statistical software packages SAS, SPSS, and R. New to the Second Edition

Data sets available for download online, allowing readers to replicate the analyses presented in the text

New chapter on testing models that involve moderation and mediation

Revised discussions of multiple comparisons procedures that focus on the integration of health-related quality of life (HRQoL) outcomes with other study outcomes using gatekeeper strategies

Recent methodological developments for the analysis of trials with missing data

New chapter on quality adjusted life-years (QALYs) and QTWiST specific to clinical trials

Taylor & Francis

Design of Experiments and Linear Regression in the Biological Sciences

9781439808788 05.09.2013 Oprawa: twarda

£ 49,99

Salvador Alejandro Gezan

Written in simple language with relevant examples, this illustrative introductory book presents best practices in experimental design and simple data analysis. Taking a practical and intuitive approach, it only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat(R) statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R.

Taylor & Francis

Dose Finding by the Continual Reassessment Method

9781420091519 09.03.2011 Oprawa: twarda

£ 52,99

Ying Kuen Cheung

As clinicians begin to realize the important role of dose-finding in the drug development process, there is an increasing openness to "novel" methods proposed in the past two decades. In particular, the Continual Reassessment Method (CRM) and its variations have drawn much attention in the medical community, though it has yet to become a commonplace tool. To overcome the status quo in phase I clinical trials, statisticians must be able to design trials using the CRM in a timely and reproducible manner. A self-contained theoretical framework of the CRM for researchers and graduate students who set out to learn and do research in the CRM and dose-finding methods in general, Dose Finding by the Continual Reassessment Method features: Real clinical trial examples that illustrate the methods and techniques throughout the book Detailed calibration techniques that enable biostatisticians to design a CRM in timely manner Limitations of the CRM are outlined to aid in correct use of method This book supplies practical, efficient dose-finding methods based on cutting edge statistical research.

Taylor & Francis

Encyclopaedic Companion to Medical Statistics

9780470684191 17.12.2010 Oprawa: twarda

£ 65,00

Brian S. Everitt

Statistical methodology is of great importance to medical research and clinical practice. The Encyclopaedic Companion to Medical Statistics contains readable accounts of the key topics central to current research and practice. Each entry has been written by an individual chosen for both their expertise in the field and their ability to communicate statistical concepts successfully to medical researchers. Real examples from the biomedical literature and relevant illustrations feature in many entries and extensive cross-referencing signposts the reader to related entries. Key Features: Contains accounts of over 400 statistical topics central to current medical research. 80# of first edition entries updated and revised. Presents the latest techniques used at the cutting edge of medical research. Covers common errors in statistical analyses in medicine. Real examples from the biomedical literature and relevant illustrations feature throughout. Contains contributions from over 70 experts in the field. Medical researchers, researchers and practitioners in medical research and statistics will benefit greatly from this book.

Wiley

Encyclopedia of Biopharmaceutical Statistics

9781439822456 20.05.2010 Oprawa: twarda

£ 540,00

Shein-Chung Chow

Available in both print and online versions, this is the definitive statistics reference for biopharmaceutical research and manufacturing, presenting current standards and best practices for the laboratory, manufacturing, and statistical design, investigation, and analysis. Thoroughly exploring emerging technologies, concepts, and trends, this second edition incorporates 69 new sections on subjects ranging from in vitro bioequivalence testing and dissolution profile comparison to bridging studies, MedDRA, vaccine clinical trials, and medical devices. It reviews recent amendments to regulatory requirements and presents newer statistical methods applicable to the drug development, review, and approval processes.

Taylor & Francis


www.abe.pl 37

Encyclopedia of Environmetrics

9780470973882 30.10.2012 Oprawa: twarda

£ 1090,00

Abdel H. El-Shaarawi

This is an expanded and revised edition of an essential reference work for university libraries, research laboratories, government institutions and consultancies concerned with the environmental sciences. The Encyclopedia offers comprehensive coverage of the wide range of topics, techniques and applications that comprise this multidisciplinary field. Key features of the new edition: * Expanded to six volumes to reflect developments in Environmetrics techniques and applications during past decade* Over 60% of articles in this edition are new or revised* A new section: Environmental Engineering and Technology* Increased breadth and depth of coverage in key application areas such as climate science and hydrological processes* Revised and updated treatment of methodology including spatial-temporal statistics, computational statistics and modeling extremes* Greater emphasis on practitioner oriented content. Publishing in both print and online the Encyclopedia will be an invaluable aid to researchers, lecturers, students, consultants and policymakers engaged in ecological statistics, climate change, geostatistics, natural resources, risk assessment, environmental health, physical

Wiley

...

Environmental Statistics with R, Second Edition

9781439810279 17.10.2013 Oprawa: twarda

£ 57,99

Steven P Millard (Consultant, Seattle, Washing-

Condensed and reorganized, this comprehensive second edition covers most of the statistical methods used in the field and now features the use of both R and S-Plus software. Continuing to emphasize lognormal distributions, censored data, and computing, this edition includes additional material on equivalence testing. It also illustrates environmental sampling designs using the public domain package VSP. In addition, the authors provide a detailed discussion of spatial mapping procedures and spatial mapping analysis in R. Along with updated problem sets and new examples, this edition contains numerous new references that bring the research up to date.

Taylor & Francis

Epidemiology

9781439839706 06.12.2013 Oprawa: twarda

£ 49,99

Woodward

Building an up-to-date understanding of the methodologies that can be used to shape public health policies, Epidemiology: Study Design and Data Analysis, Second Edition encompasses the study of epidemiology from the observation of associations between risk factors and disease to the use of practical, data-supported analyses. It presents study designs commonly used for a wide range of purposes, and covers the spectrum of statistical principles and analytical tools used in epidemiological research, such as techniques used in report writing, descriptive analyses, statistical models and synthesis of evidence. New Material in This Edition Includes:

Systematic evaluation

Meta-analysis

Regression dilution

Case-cohort studies

Case-crossover studies

Taylor & Francis

Epidemiology Foundations: The Science of Public Health

9780470402894 25.01.2011 Oprawa: miękka

£ 50,00

Peter J. Fos

Epidemiology Foundations is an accessible introduction to epidemiology. This comprehensive resource covers the topic including information on its foundations, history, health and disease, descriptive epidemiology, measurement, study designs, uses, epidemics, social epidemiology, screening, community health, and global health. This book has been developed to closely respond to recommendations by the Consensus Conference on Undergraduate Public Health Education and is designed for use an introductory text for a course in epidemiology or in any class that features the topic epidemiology.

Wiley

Equivalency and Noninferiority Testing in Clinical Trials

9781466561496 06.10.2013 Oprawa: twarda

£ 49,99

Tie-Hua Ng

This book focuses on the rationale of choosing the noninferiority (NI) margin as a small fraction of the therapeutic effect of the active control in a clinical trial. It discusses issues of estimating the effect size based on historical placebo control trials of the active control. The book also covers basic concepts related to NI trials, such as essay sensitivity, constancy assumption, discounting, and preservation. Other topics described include patient populations, three-arm trials, and testing equivalence of three or more groups.

Taylor & Francis

Essential Mathematics and Statistics for Forensic Science

9780470742532 16.04.2010 Oprawa: miękka

£ 27,50

Craig Adam

This text is an accessible, student-friendly introduction to the wide range of mathematical and statistical tools needed by the forensic scientist in the analysis, interpretation and presentation of experimental measurements. From a basis of high school mathematics, the book develops essential quantitative analysis techniques within the context of a broad range of forensic applications. This clearly structured text focuses on developing core mathematical skills together with an understanding of the calculations associated with the analysis of experimental work, including an emphasis on the use of graphs and the evaluation of uncertainties. Through a broad study of probability and statistics, the reader is led ultimately to the use of Bayesian approaches to the evaluation of evidence within the court. In every section, forensic applications such as ballistics trajectories, post-mortem cooling, aspects of forensic pharmacokinetics, the matching of glass evidence, the formation of bloodstains and the interpretation of DNA profiles are discussed and examples of calculations are worked through. In every chapter there are numerous self-assessment problems to aid student learning.

Wiley


38 www.abe.pl

Evidence Synthesis for Decision Making in Healthcare

9780470061091 11.05.2012 Oprawa: twarda

£ 45,00

Alexander J. Sutton

In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are beneficial, are superior to all alternatives and are cost-effective. Usually one study will not provide answers to these questions and it will be necessary to synthesize evidence from multiple sources. This book aims to outline a coherent approach to such evidence synthesis, for the purpose of decision making. Each chapter contains worked examples, exercises and solutions drawn from a variety of medical disciplines Evidence Syntesis for Decision Making intends to provide a practical guide to the appropriate methods for synthesizing evidence for use in analytical decision models. More specifically, it proposes a comprehensive evidence synthesis framework, which models all the available data appropriately and efficiently in a format that can be incorporated directly into a decision model.

Wiley

Exercises and Solutions in Biostatistical Theory

9781584887225 02.11.2010 Oprawa: miękka

£ 25,99

Lawrence L. Kupper

Drawn from nearly four decades of Lawrence L. Kupper's teaching experiences as a distinguished professor in the Department of Biostatistics at the University of North Carolina, Exercises and Solutions in Biostatistical Theory presents theoretical statistical concepts, numerous exercises, and detailed solutions that span topics from basic probability to statistical inference. The text links theoretical biostatistical principles to real-world situations, including some of the authors' own biostatistical work that has addressed complicated design and analysis issues in the health sciences. This classroom-tested material is arranged sequentially starting with a chapter on basic probability theory, followed by chapters on univariate distribution theory and multivariate distribution theory. The last two chapters on statistical inference cover estimation theory and hypothesis testing theory. Each chapter begins with an in-depth introduction that summarizes the biostatistical principles needed to help solve the exercises. Exercises range in level of difficulty from fairly basic to more challenging (identified with asterisks).

Taylor & Francis

Exercises and Solutions in Statistical Theory

9781466572898 24.05.2013 Oprawa: miękka

£ 38,99

Lawrence L. Kupper

Designed for teaching a course in statistical theory in a variety of disciplines, including statistics, biostatistics, mathematics, engineering, physics, computer science, and psychometrics, this book contains two main sections: Probability and Distribution Theory and Statistical Inference. The first contains exercises and selected solutions in probability theory, univariate distribution theory, and multivariate distribution theory. The second contains exercises and selected solutions in estimation theory and hypothesis testing theory. The exercises vary in difficulty from basic to intermediate to advanced and solutions for about half the exercises are included, with a separate solutions manual with detailed solutions made available for instructors.

Taylor & Francis

Expect the Unexpected: A First Course in Biostatistics

9789814291323 31.08.2010 Oprawa: twarda

£ 39,00

Raluca Balan

Statistical reasoning and modeling are of critical importance to modern biology. This textbook introduces fundamental concepts from probability and statistics which will pave the way for the student of biology to become a well-rounded scientist. No previous study of probability or statistics is assumed. Calculus topics are not used extensively in this book, though some integration and differentiation are expected. The calculus prerequisite is primarily intended to assure a certain level of mathematical maturity. This book puts emphasis on examples, which are presented to motivate the theory. The presentation style is concise and self-contained, briefly including the mathematical elements that are needed for studying probability and statistics. The examples are relevant to students in the life sciences with interests in genetics, biology, ecology, health, etc. We believe that aspects of probability theory are of biological interest and that probability underlies the theory of inferential statistics. Thus, we place an equal emphasis on probability and statistics which are both essential for solving and understanding many types of biological problems.


Exploratory Multivariate Analysis by Example Using R

9781439835807 17.11.2010 Oprawa: twarda

£ 56,99

Francois Husson

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, and hierarchical cluster analysis. The authors take a geometric point of view that provides a unified vision for exploring multivariate data tables. Within this framework, they present the principles, indicators, and ways of representing and visualizing objects that are common to the exploratory methods. The authors show how to use categorical variables in a PCA context in which variables are quantitative, how to handle more than two categorical variables in a CA context in which there are originally two variables, and how to add quantitative variables in an MCA context in which variables are categorical. They also illustrate the methods and the ways they can be exploited using examples from various fields.

Taylor & Francis

Flexible Imputation of Missing Data

9781439868249 19.04.2012 Oprawa: twarda

£ 57,99

Stef Van Buuren

Missing data form a problem in every scientific discipline, yet the techniques required to handle them are complicated and often lacking. One of the great ideas in statistical science—multiple imputation—fills gaps in the data with plausible values, the uncertainty of which is coded in the data itself. It also solves other problems, many of which are missing data problems in disguise. Flexible Imputation of Missing Data is supported by many examples using real data taken from the author's vast experience of collaborative research, and presents a practical guide for handling missing data under the framework of multiple imputation. Furthermore, detailed guidance of implementation in R using the author’s package MICE is included throughout the book.

Taylor & Francis


www.abe.pl 39

Forward-Time Population Genetics Simulations

9780470503485 21.04.2010 Oprawa: miękka

£ 60,50

Bo Peng

The rapid increase of the power of personal computers has led to the use of serious simulation programs such as easy POP in genetic studies. This book summarizes recent advances in forward-time simulation methods and demonstrates their applications in population genetics and genetic epidemiology. The authors introduce commonly used forward-time population genetics simulation methods, including some new methods, and introduce a forward-time population genetics simulation environment, simuPOP, as a powerful and flexible tool to implement these simulations. Researchers and students in population and statistical genetics will find this book useful.

Wiley

Foundational Statistics for Biologists: A Textbook with R

9781439873380 15.10.2013 Oprawa: twarda

£ 44,99

Ken A Aho (Idaho State University, Pocatello,

Taking a biological perspective, this text provides an introduction to foundational topics in science, probability, and mathematical statistics for advanced undergraduate and graduate students in biology and related fields. It offers comprehensive background material in probability and mathematical statistics, emphasizing Bayesian methods and biological applications throughout. The author discusses relevant issues in the philosophy of science as well as the design of effective experiments. He also uses an R package specifically developed to demonstrate ideas presented in the book.

Taylor & Francis

Fundamentals of Clinical Trials

9781441915856 21.09.2010 Oprawa: miękka

€ 52,95

Lawrence M. Friedman

This is the fourth edition of a very successful textbook on clinical trials methodology, written by three recognized experts who have long and extensive experience in all areas of clinical trials. Most chapters have been revised considerably from the third edition. A chapter on ethics has been added and topics such as noninferiority and adaptive designs now receive considerable discussion. There is much new material on adverse events, adherence, data monitoring, and issues in analysis. This book is intended for the clinical researcher who is interested in designing a clinical trial and developing a protocol. It is also of value to researchers and practitioners who must critically evaluate the literature of published clinical trials and assess the merits of each trial and the implications for the care and treatment of patients. The authors use numerous examples of published clinical trials from a variety of medical disciplines to illustrate the fundamentals. The text is organized sequentially from defining the question to trial closeout. One chapter is devoted to each of the critical areas to aid the clinical trial researcher.

Springer

Gaussian Process Regression Analysis for Functional Data

9781439837733 05.07.2011 Oprawa: twarda

£ 66,99

Jian Qing Shi

Gaussian Process Regression Analysis for Functional Data presents nonparametric statistical methods for functional regression analysis, specifically the methods based on a Gaussian process prior in a functional space. The authors focus on problems involving functional response variables and mixed covariates of functional and scalar variables. Covering the basics of Gaussian process regression, the first several chapters discuss functional data analysis, theoretical aspects based on the asymptotic properties of Gaussian process regression models, and new methodological developments for high dimensional data and variable selection. The remainder of the text explores advanced topics of functional regression analysis, including novel nonparametric statistical methods for curve prediction, curve clustering, functional ANOVA, and functional regression analysis of batch data, repeated curves, and non-Gaussian data. Many flexible models based on Gaussian processes provide efficient ways of model learning, interpreting model structure, and carrying out inference, particularly when dealing with large dimensional functional data.

Taylor & Francis

Generalized Estimating Equations

9781439881132 07.01.2013 Oprawa: twarda

£ 57,99

James W. Hardin

Generalized Estimating Equations, Second Edition updates the best-selling previous edition, which has been the standard text on the subject since it was published a decade ago. Combining theory and application, the text provides readers with a comprehensive discussion of GEE and related models. Numerous examples are employed throughout the text, along with the software code used to create, run, and evaluate the models being examined. Stata is used as the primary software for running and displaying modeling output; associated R code is also given to allow R users to replicate Stata examples. Specific examples of SAS usage are provided in the final chapter as well as on the book’s website. This second edition incorporates comments and suggestions from a variety of sources, including the Statistics.com course on longitudinal and panel models taught by the authors. Other enhancements include an examination of GEE marginal effects; a more thorough presentation of hypothesis testing and diagnostics, covering competing hierarchical models; and a more detailed examination of previously discussed subjects.

Taylor & Francis

Generalized Linear Mixed Models

9781439815120 19.10.2012 Oprawa: twarda

£ 57,99

Walter W. Stroup

Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the generalized linear mixed model (GLMM) as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how linear models fit with the rest of the core statistics curriculum and points out the major issues that statistical modelers must consider. Along with describing common applications of GLMMs, the text introduces the essential theory and main methodology associated with linear models that accommodate random model effects and non-Gaussian data. Unlike traditional linear model textbooks that focus on normally distributed data, this one adopts a generalized mixed model approach throughout: data for linear modeling need not be normally distributed and effects may be fixed or random. With numerous examples using SAS(R) PROC GLIMMIX, this book is ideal for graduate students in statistics, statistics professionals seeking to update their knowledge, and researchers new to the generalized linear model thought process.

Taylor & Francis


40 www.abe.pl

Generalized Linear Models and Extensions

9781597181051 06.07.2012 Oprawa: miękka

£ 49,99

James W. Hardin

This book presents a thorough examination of generalized linear model (GLM) estimation methods as well as the derivation of all major GLM families. Examined families include Gaussian, gamma, inverse Gaussian, binomial, Poisson, geometric, and negative binomial. The text also contains various models that have been developed on the basis of GLM theory, including GAM, ordered binomial models, multinomial logit and probit models, GEE and other quasi-likelihood models, fixed and random effects models, and random intercept and random parameter models. Using Stata, the book offers numerous examples to assist you in applying the models to your own data situations.

Taylor & Francis

Genomic Clinical Trials and Predictive Medicine

9781107401358 07.01.2013 Oprawa: miękka

£ 27,99

Richard M. Simon

Genomics is majorly impacting therapeutics development in medicine. This book contains up-to-date information on the use of genomics in the design and analysis of therapeutic clinical trials with a focus on novel approaches that provide a reliable basis for identifying which patients are most likely to benefit from each treatment. It is oriented to both clinical investigators and statisticians. For clinical investigators, it includes background information on clinical trial design and statistical analysis. For statisticians and others who want to go deeper, it covers state-of-the-art adaptive designs and the development and validation of probabilistic classifiers. The author describes the development and validation of prognostic and predictive biomarkers and their integration into clinical trials that establish their clinical utility for informing treatment decisions for future patients.


Geostatistics: Modeling Spatial Uncertainty

9780470183151 19.04.2012 Oprawa: twarda

£ 83,50

Jean-Paul Chiles

This second edition of one of the best-selling books on geostatistics provides through updates from two authoritative authors with over twenty years of experience in the field. It removes information and data that have lost relevance with time while maintaining timeless, core methods and integrating them with new developments to the field. The authors employ an applied focus on new aspects of geostatistics, including kernal methods, extreme values geostatistics, and modeling in geo-chronologic space. It can be used as a reference book for geostatisticians, physicists, and earth scientists in both industry and academia and as a supplemental text in related couses at the Ph.D level.

Wiley

Handbook of Adaptive Designs in Pharmaceutical and Clinical Development

9781439810163 27.10.2010 Oprawa: twarda

£ 69,99

Annpey Pong

This comprehensive guide offers a unified presentation of the principles and methodologies in adaptive design and analysis. It gives a well-balanced summary of current regulatory perspectives and recently developed statistical methods in this area. The handbook provides some insight regarding early phase and later phase adaptive designs. With a focus on the implementation of adaptive methods in clinical trials, it introduces the concepts of role, responsibility, function, and activity of a data safety monitoring board (DSMB) when applying these methods. Other important topics covered in detail include regulatory perspectives and logistics issues in applying adaptive design methods.

Taylor & Francis

Handbook of Functional MRI Data Analysis

9780521517669 22.08.2011 Oprawa: twarda

£ 50,00

Russell Alan Poldrack

Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook of Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages including FSL, SPM and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling and resting state network analysis, are also discussed. Readers of this book, whether newcomers to the field or experienced researchers, will obtain a deep and effective knowledge of how to employ fMRI analysis to ask scientific questions and become more sophisticated users of fMRI analysis software.


Handbook of Markov Chain Monte Carlo

9781420079418 13.05.2011 Oprawa: twarda

£ 66,99

Steve Brooks

Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian statistics. Furthermore, MCMC methods have enabled the development and use of intricate models in an astonishing array of disciplines as diverse as fisheries science and economics. The wide-ranging practical importance of MCMC has sparked an expansive and deep investigation into fundamental Markov chain theory. The Handbook of Markov Chain Monte Carlo provides a reference for the broad audience of developers and users of MCMC methodology interested in keeping up with cutting-edge theory and applications. The first half of the book covers MCMC foundations, methodology, and algorithms. The second half considers the use of MCMC in a variety of practical applications including in educational research, astrophysics, brain imaging, ecology, and sociology. The in-depth introductory section of the book allows graduate students and practicing scientists new to MCMC to become thoroughly acquainted with the basic theory, algorithms, and applications.

Taylor & Francis


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Handbook of Spatial Statistics

9781420072877 23.03.2010 Oprawa: twarda

£ 69,99

Alan E. Gelfand

Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area. It takes a unified, integrated approach to the material, providing cross-references among chapters. The handbook begins with a historical introduction detailing the evolution of the field. It then focuses on the three main branches of spatial statistics: continuous spatial variation (point referenced data)

Taylor & Francis

Handbook of Statistical Systems Biology

9780470710869 21.10.2011 Oprawa: twarda

£ 120,00

Michael Stumpf

Systems Biology is now entering a mature phase in which the key issues are characterising uncertainty and stochastic effects in mathematical models of biological systems. The area is moving towards a full statistical analysis and probabilistic reasoning over the inferences that can be made from mathematical models. This handbook presents a comprehensive guide to the discipline for practitioners and educators, in providing a full and detailed treatment of these important and emerging subjects. Leading experts in systems biology and statistics have come together to provide insight in to the major ideas in the field, and in particular methods of specifying and fitting models, and estimating the unknown parameters. This book:

Provides a comprehensive account of inference techniques in systems biology.

Introduces classical and Bayesian statistical methods for complex systems.

Explores networks and graphical modeling as well as a wide range of statistical models for dynamical systems.

Wiley

Handbook of Statistics in Clinical Oncology

9781439862001 04.04.2012 Oprawa: twarda

£ 76,99

John Crowley

Many new challenges have arisen in the area of oncology clinical trials. New cancer therapies are often based on cytostatic or targeted agents, which pose new challenges in the design and analysis of all phases of trials. The literature on adaptive trial designs and early stopping has been exploding. Inclusion of high-dimensional data and imaging techniques have become common practice, and statistical methods on how to analyse such data have been refined in this area. A compilation of statistical topics relevant to these new advances in cancer research, this third edition of Handbook of Statistics in Clinical Oncology focuses on the design and analysis of oncology clinical trials and translational research. Addressing the many challenges that have arisen since the publication of its predecessor, this third edition covers the newest developments involved in the design and analysis of cancer clinical trials, incorporating updates to all four parts: Phase I trials: Updated recommendations regarding the standard 3 + 3 and continual reassessment approaches, along with new chapters on phase 0 trials and phase I trial design for targeted agents.

Taylor & Francis

Handbook of Survival Analysis

9781466555662 14.08.2013 Oprawa: twarda

£ 63,99

John P. Klein

This handbook focuses on the analysis of lifetime data arising from the biological and medical sciences. It deals with semiparametric and nonparametric methods. For investigators new to this field, the book provides an overview of the topic along with examples of the methods discussed. It presents both classical methods and modern Bayesian approaches to the analysis of data.

Taylor & Francis

Handbook of Volatility Models and Their Applications

9780470872512 27.04.2012 Oprawa: twarda

£ 100,00

Luc Bauwens

Volatility has become a hot topic in this era of instant communications, spawning a great deal of research in empirical finance and time series econometrics. Providing an overview of the most recent advances, Handbook of Volatility Models and Their Applications explores key concepts and topics essential for modeling the volatility of financial time series, both univariate and multivariate, parametric and non-parametric, high-frequency and low-frequency. Featuring contributions from international experts in the field, the book features numerous examples and applications from real-world projects and cutting-edge research, showing step by step how to use various methods accurately and efficiently when assessing volatility rates. Following a comprehensive introduction to the topic, readers are provided with three distinct sections that unify the statistical and practical aspects of volatility:

Autoregressive Conditional Heteroskedasticity and Stochastic Volatility presents ARCH and stochastic volatility models, with a focus on recent research topics including mean, volatility, and skewness spillovers in equity markets

Wiley

Integrated Microsystems

9781439836200 27.09.2011 Oprawa: twarda

£ 107,00

Krzysztof Iniewski

As rapid technological developments occur in electronics, photonics, mechanics, chemistry, and biology, the demand for portable, lightweight integrated microsystems is relentless. These devices are getting exponentially smaller, increasingly used in everything from video games, hearing aids, and pacemakers to more intricate biomedical engineering and military applications. Edited by Kris Iniewski, a revolutionary in the field of advanced semiconductor materials, Integrated Microsystems: Electronics, Photonics, and Biotechnology focuses on techniques for optimized design and fabrication of these intelligent miniaturized devices and systems. Composed of contributions from experts in academia and industry around the world, this reference covers processes compatible with CMOS integrated circuits, which combine computation, communications, sensing, and actuation capabilities. Light on math and physics, with a greater emphasis on microsystem design and configuration and electrical engineering, this book is organized in three sections-Microelectronics and Biosystems, Photonics and Imaging, and Biotechnology and MEMs.

Taylor & Francis


42 www.abe.pl

Interval-Censored Time-to-Event Data: Methods and Applications

9781466504257 30.07.2012 Oprawa: twarda

£ 63,99

Ding-Geng (Din) Chen

Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for interval-censored time-to-event data. Top biostatisticians from academia, biopharmaceutical industries, and government agencies discuss how these advances are impacting clinical trials and biomedical research. Divided into three parts, the book begins with an overview of interval-censored data modeling, including nonparametric estimation, survival functions, regression analysis, multivariate data analysis, competing risks analysis, and other models for interval-censored data. The next part presents interval-censored methods for current status data, Bayesian semiparametric regression analysis of interval-censored data with monotone splines, Bayesian inferential models for interval-censored data, an estimator for identifying causal effect of treatment, and consistent variance estimation for interval-censored data. In the final part, the contributors use Monte Carlo simulation to assess biases in progression-free survival analysis as well as correct bias in interval-censored time-to-event applications.

Taylor & Francis

Introduction to Data Analysis with R for Forensic Scientists

9781420088267 06.08.2010 Oprawa: twarda

£ 69,99

James Michael Curran

Statistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. However, many researchers lack the statistical skills or resources that would allow them to explore their data to its full potential. Introduction to Data Analysis with R for Forensic Sciences minimizes theory and mathematics and focuses on the application and practice of statistics to provide researchers with the dexterity necessary to systematically analyze data discovered from the fruits of their research. Using traditional techniques and employing examples and tutorials with real data collected from experiments, this book presents the following critical information necessary for researchers:

A refresher on basic statistics and an introduction to R

Considerations and techniques for the visual display of data through graphics

An overview of statistical hypothesis tests and the reasoning behind them

A comprehensive guide to the use of the linear model, the foundation of most statistics encountered

Taylor & Francis

Introduction to Hierarchical Bayesian Modeling for Ecological Data

9781584889199 17.09.2012 Oprawa: twarda

£ 57,99

Eric Parent

Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian Modeling for Ecological Data gives readers a flexible and effective framework to learn about complex ecological processes from various sources of data. It also helps readers get started on building their own statistical models. The text begins with simple models that progressively become more complex and realistic through explanatory covariates and intermediate hidden states variables. When fitting the models to data, the authors gradually present the concepts and techniques of the Bayesian paradigm from a practical point of view using real case studies. They emphasize how hierarchical Bayesian modeling supports multidimensional models involving complex interactions between parameters and latent variables. Data sets, exercises, and R and WinBUGS codes are available on the authors' website. This book shows how Bayesian statistical modeling provides an intuitive way to organize data, test ideas, investigate competing hypotheses, and assess degrees of confidence of predictions.

Taylor & Francis

Introduction to Protein Structure Prediction

9780470470596 03.12.2010 Oprawa: twarda

£ 83,50

Huzefa Rangwala

This book helps unravel the relationship of pure sequence information and three-dimensional structure, which remains one of the great fundamental problems in molecular biology and bioinformatics. It describes key applications of modeled structures, focusing on the methods and algorithms that are used to predict protein structure written by experts who participate in the structure prediction competition. The book also delivers applications used for predicted models in other studies. Researchers in bioinformatics and molecular biology will find this text highly useful, as will students in graduate courses in protein prediction.

Wiley

Introduction to Statistical Data Analysis for the Life Sciences

9781439825556 22.07.2010 Oprawa: miękka

£ 33,99

Claus Thorn Ekstrom

Any practical introduction to statistics in the life sciences requires a focus on applications and computational statistics combined with a reasonable level of mathematical rigor. It must offer the right combination of data examples, statistical theory, and computing required for analysis today. And it should involve R software, the lingua franca of statistical computing. Introduction to Statistical Data Analysis for the Life Sciences covers all the usual material but goes further than other texts to emphasize: Both data analysis and the mathematics underlying classical statistical analysis Modeling aspects of statistical analysis with added focus on biological interpretations Applications of statistical software in analyzing real-world problems and data sets Developed from their courses at the University of Copenhagen, the authors imbue readers with the ability to model and analyze data early in the text and then gradually fill in the blanks with needed probability and statistics theory. While the main text can be used with any statistical software, the authors encourage a reliance on R. They provide a short tutorial for those new to the software and include R commands and output at the end of each chapter.

Taylor & Francis

Introduction to Statistical Limit Theory

9781420076608 14.01.2011 Oprawa: twarda

£ 59,99

Alan M. Polansky

Those moving on to advanced statistics typically lack the mathematical foundation that allows them to make full use of statistical limit theory. This accessible resource reviews approximation theory and limit theory for sequences of functions and basic notions of functional analysis. It provides detailed arguments that show how underlying mathematical and statistical theory work together. Among its unique qualities, the text covers expansion theory, which is becoming increasingly important in modern applications. It also discusses bootstrap, kernel smoothing, and Markov chain Monte Carlo and includes a wide array of examples and problems from the fundamental to very advanced.

Taylor & Francis


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Introduction to Statistical Methods for Biosurveillance

9780521191340 31.03.2013 Oprawa: twarda

£ 50,00

Ronald D. Fricker

Bioterrorism is not a new threat, but in an increasingly interconnected world, the potential for catastrophic outcomes is greater today than ever. The medical and public health communities are establishing biosurveillance systems designed to proactively monitor populations for possible disease outbreaks as a first line of defense. The ideal biosurveillance system should identify trends not visible to individual physicians and clinicians in near-real time. Many of these systems use statistical algorithms to look for anomalies and to trigger epidemiologic investigation, quantification, localization, and outbreak management. This book discusses the design and evaluation of statistical methods for effective biosurveillance for readers with minimal statistical training. Weaving public health and statistics together, it presents basic and more advanced methods, with a focus on empirically demonstrating added value. Although the emphasis is on epidemiologic and syndromic surveillance, the statistical methods can be applied to a broad class of public health surveillance problems.


Joint Models of Longitudinal and Time-to-Event Data

9781439872864 09.07.2012 Oprawa: twarda

£ 49,99

Dimitris Rizopoulos

In longitudinal studies it is often of interest to investigate how a marker that is repeatedly measured in time is associated with a time to an event of interest, e.g., prostate cancer studies where longitudinal PSA level measurements are collected in conjunction with the time-to-recurrence. Joint Models for Longitudinal and Time-to-Event Data: With Applications in R provides a full treatment of random effects joint models for longitudinal and time-to-event outcomes that can be utilized to analyze such data. The content is primarily explanatory, focusing on applications of joint modeling, but sufficient mathematical details are provided to facilitate understanding of the key features of these models. All illustrations put forward can be implemented in the R programming language via the freely available package JM written by the author.

Taylor & Francis

Knowledge Based Bioinformatics: From Analysis to Interpretation

9780470748312 16.07.2010 Oprawa: twarda

£ 50,00

Gil Alterovitz

There is an increasing need throughout the biomedical sciences for a greater understanding of knowledge-based systems and their application to genomic and proteomic research. This book discusses knowledge-based and statistical approaches, along with applications in bioinformatics and systems biology. The text emphasizes the integration of different methods for analysing and interpreting biomedical data. This, in turn, can lead to breakthrough biomolecular discoveries, with applications in personalized medicine. Key Features:* Explores the fundamentals and applications of knowledge-based and statistical approaches in bioinformatics and systems biology.* Helps readers to interpret genomic, proteomic, and metabolomic data in understanding complex biological molecules and their interactions.* Provides useful guidance on dealing with large datasets in knowledge bases, a common issue in bioinformatics.* Written by leading international experts in this field. Students, researchers, and industry professionals with a background in biomedical sciences, mathematics, statistics, or computer science will benefit from this book.

Wiley

Local Models for Spatial Analysis

9781439829196 26.10.2010 Oprawa: twarda

£ 62,99

Christopher D. Lloyd

Focusing on solutions, this second edition provides guidance to a wide variety of real-world problems. The text presents a complete introduction to key concepts and a clear mapping of the methods discussed. It also explores connections between methods. New chapters address spatial patterning in single variables and spatial relations. In addition, every chapter now includes links to key related studies. The author clearly distinguishes between local and global methods and provides more detailed coverage of geographical weighting, image texture measures, local spatial autocorrelation, and multicollinearity and geographically weighted regression.

Taylor & Francis

Logistic Regression

9781441917416 01.06.2010 Oprawa: twarda

€ 89,95

David G. Kleinbaum

This very popular textbook is now in its third edition. Whether students or working professionals, readers appreciate its unique "lecture book" format. They often say the book reads like they are listening to an outstanding lecturer. This edition includes three new chapters, an updated computer appendix, and an expanded section about modeling guidelines that consider causal diagrams. Like previous editions, this textbook provides a highly readable description of fundamental and more advanced concepts and methods of logistic regression. It is suitable for researchers and statisticians in medical and other life sciences as well as academicians teaching second-level regression methods courses. The new chapters are: Additional Modeling Strategy Issues, including strategy with several exposures, screening variables, collinearity, influential observations and multiple-testing, assessing Goodness to Fit for Logistic Regression, assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves. The Computer Appendix provides step-by-step instructions for using STATA (version 10.0), SAS (version 9.2), and SPSS (version 16) for procedures described in the main text.

Springer

Measurement Error

9781420066562 02.03.2010 Oprawa: twarda

£ 62,99

John P. Buonaccorsi

Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data to estimate measurement error parameters have emerged. Focusing on both established and novel approaches, "Measurement Error: Models, Methods, and Applications" provides an overview of the main techniques and illustrates their application in various models. It describes the impacts of measurement errors on naive analyses that ignore them and presents ways to correct for them across a variety of statistical models, from simple one-sample problems to regression models to more complex mixed and time series models. The book covers correction methods based on known measurement error parameters, replication, internal or external validation data, and, for some models, instrumental variables. It emphasizes the use of several relatively simple methods, moment corrections, regression calibration, simulation extrapolation (SIMEX), modified estimating equation methods, and likelihood techniques. The author uses SAS-IML and Stata to implement many of the techniques in the examples.

Taylor & Francis


44 www.abe.pl

Measurement in Medicine: A Practical Guide

9780521133852 11.08.2011 Oprawa: miękka

£ 29,99

Henrica C. W. de Vet

The success of the Apgar score demonstrates the astounding power of an appropriate clinical instrument. This down-to-earth book provides practical advice, underpinned by theoretical principles, on developing and evaluating measurement instruments in all fields of medicine. It equips you to choose the most appropriate instrument for specific purposes. The book covers measurement theories, methods and criteria for evaluating and selecting instruments. It provides methods to assess measurement properties, such as reliability, validity and responsiveness, and interpret the results. Worked examples and end-of-chapter assignments use real data and well-known instruments to build your skills at implementation and interpretation through hands-on analysis of real-life cases. All data and solutions are available online. This is a perfect course book for students and a perfect companion for professionals/researchers in the medical and health sciences who care about the quality and meaning of the measurements they perform.


Measurement of Individual Stated Preferences Using R

9781439890479 05.11.2013 Oprawa: twarda

£ 49,99

Aizaki

The quantitative measurement of individual preferences is essential, allowing us to understand social phenomena and derive appropriate policies and business inferences. Suitable for applied statisticians and empirical researchers, this book helps readers select the best method for such measurement from the many econometric methods available. Providing a practical understanding of these methods, the authors present the theoretical foundations of each method together with worked examples to illustrate their application in various fields, notably empirical economics and market research. R is used to implement all methods, with code, packages, and data sets available online.

Taylor & Francis

Measures of Interobserver Agreement and Reliability

9781439810804 20.12.2010 Oprawa: twarda

£ 69,99

Mohamed M. Shoukri

Measures of Interobserver Agreement and Reliability, Second Edition covers important issues related to the design and analysis of reliability and agreement studies. It examines factors affecting the degree of measurement errors in reliability generalization studies and characteristics influencing the process of diagnosing each subject in a reliability study. The book also illustrates the importance of blinding and random selection of subjects. New to the Second Edition New chapter that describes various models for methods comparison studies New chapter on the analysis of reproducibility using the within-subjects coefficient of variation Emphasis on the definition of the subjects' and raters' population as well as sample size determination This edition continues to offer guidance on how to run sound reliability and agreement studies in clinical settings and other types of investigations. The author explores two ways of producing one pooled estimate of agreement from several centers: a fixed-effect approach and a random sample of centers using a simple meta-analytic approach. The text includes end-of-chapter exercises as well as a CD-ROM of data sets and SAS code.

Taylor & Francis

Medical Biostatistics

9781439884140 30.08.2012 Oprawa: twarda

£ 82,00

Abhaya Indrayan

Encyclopedic in breadth, yet practical and concise, Medical Biostatistics, Third Edition focuses on the statistical aspects of medicine with a medical perspective, showing the utility of biostatistics as a tool to manage many medical uncertainties. The author concludes "Just as results of medical tests, statistical results can be false negative or false positive". This edition provides expanded coverage of topics and includes software illustrations. The author presents step-by-step explanations of statistical methods with the help of numerous real-world examples. Guide charts at the beginning of the book enable quick access to the relevant statistical procedure, and the comprehensive index makes it easier to locate terms of interest.

Taylor & Francis

Medical Biostatistics for Complex Diseases

9783527325856 21.04.2010 Oprawa: twarda

£ 90,00

Frank Emmert-Streib

A collection of highly valuable statistical and computational approaches designed for developing powerful methods to analyze large-scale high-throughput data derived from studies of complex diseases. Such diseases include cancer and cardiovascular disease, and constitute the major health challenges in industrialized countries. They are characterized by the systems properties of gene networks and their interrelations, instead of individual genes, whose malfunctioning manifests in pathological phenotypes, thus making the analysis of the resulting large data sets particularly challenging. This is why novel approaches are needed to tackle this problem efficiently on a systems level. Written by computational biologists and biostatisticians, this book is an invaluable resource for a large number of researchers working on basic but also applied aspects of biomedical data analysis emphasizing the pathway level.

Wiley

Mendelian Randomization

9781466573178 26.10.2013 Oprawa: twarda

£ 34,99

Stephen Burgess

Mendelian randomization is a way of assessing causal associations from observational data, which is especially important for medical scientists and epidemiologists who want to know the true causes of diseases. Covering this emerging area of research in biostatistics and epidemiology, this book examines the use of genetic variants as instrumental variables to assess causal associations. It also discusses statistical issues with instrumental variable analysis and explores practical applications of Mendelian randomization. The methods are illustrated with a variety of detailed worked examples using real data.

Taylor & Francis


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Methods and Applications of Statistics in the Atmospheric and Earth Sciences

9780470503447 11.12.2012 Oprawa: twarda

£ 130,00

N. Balakrishnan

Presenting a concise, well-rounded focus on the statistical concepts and applications that are essential for understanding gathered data in the earth and atmospheric sciences. Containing contributions from over 100 leading academics, researchers, and practitioners in these fields, this comprehensive book unveils modern, approaches to the acquisition and analysis of data across diverse subject areas like geology, agriculture, animal science, and geophysics. It discusses techniques related to survey methodology, computational statistics, and operations research and covers new areas of interest like non-linear weather forecasting, construction geological surveys, and water pollution assessment.

Wiley

Methods and Applications of Statistics in the Life and Health Sciences

9780470405093 12.01.2010 Oprawa: twarda

£ 145,00

N. Balakrishnan

Inspired by the Encyclopedia of Statistical Sciences, Second Edition, this volume outlines the statistical tools for successfully working with modern life and health sciences research Data collection holds an essential part in dictating the future of health sciences and public health, as the compilation of statistics allows researchers and medical practitioners to monitor trends in health status, identify health problems, and evaluate the impact of health policies and programs. Methods and Applications of Statistics in the Life and Health Sciences serves as a single, one-of-a-kind resource on the wide range of statistical methods, techniques, and applications that are applied in modern life and health sciences in research. Specially designed to present encyclopedic content in an accessible and self-contained format, this book outlines thorough coverage of the underlying theory and standard applications to research in related disciplines such as biology, epidemiology, clinical trials, and public health.

Wiley

Modeling and Analytical Methods in Tribology

9781420087017 23.07.2010 Oprawa: twarda

£ 83,00

Ilya I. Kudish

Improving our understanding of friction, lubrication, and fatigue, "Modeling and Analytical Methods in Tribology" presents a fresh approach to tribology that links advances in applied mathematics with fundamental problems in tribology related to contact elasticity, fracture mechanics, and fluid film lubrication. The authors incorporate the classical tenets of tribology while providing new mathematical solutions that address various shortcomings in existing theories. From contact interactions to contact fatigue life, the book connects traditionally separate areas of tribology research to create a coherent modeling methodology that encompasses asymptotic and numerical techniques. The authors often demonstrate the efficacy of the models by comparing predictions to experimental data. In most cases, they derive equations from first principles. They also rigorously prove problem formulations and derive certain solution properties. Solutions to problems are presented using simple analytical formulas, graphs, and tables. In addition, the end-of-chapter exercises highlight points important for comprehending the material and mastering the appropriate skills.

Taylor & Francis

Modeling and Simulation in Ecotoxicology with Applications in MATLAB and Simulink

9781439855171 15.08.2011 Oprawa: twarda

£ 76,99

Kenneth R. Dixon

Exploring roles critical to environmental toxicology, Modeling and Simulation in Ecotoxicology with Applications in MATLAB® and Simulink® covers the steps in modeling and simulation from problem conception to validation and simulation analysis. Using the MATLAB and Simulink programming languages, the book presents examples of mathematical functions and simulations, with special emphasis on how to develop mathematical models and run computer simulations of ecotoxicological processes. Designed for students and professionals with little or no experience in modeling, the book includes:

General principles of modeling and simulation and an introduction to MATLAB and Simulink

Stochastic modeling where variability and uncertainty are acknowledged by making parameters random variables

Toxicological processes from the level of the individual organism, with worked examples of process models in either MATLAB or Simulink

Taylor & Francis

Modelling and Quantitative Methods in Fisheries

9781584885610 15.03.2011 Oprawa: twarda

£ 41,99

Malcolm Haddon

With numerous real-world examples, Modelling and Quantitative Methods in Fisheries, Second Edition provides an introduction to the analytical methods used by fisheries' scientists and ecologists. By following the examples using Excel, readers see the nuts and bolts of how the methods work and better understand the underlying principles. Excel workbooks are available for download from CRC Press website. In this second edition, the author has revised all chapters and improved a number of the examples. This edition also includes two entirely new chapters: Characterization of Uncertainty covers asymptotic errors and likelihood profiles and develops a generalized Gibbs sampler to run a Markov chain Monte Carlo analysis that can be used to generate Bayesian posteriors Sized-Based Models implements a fully functional size-based stock assessment model using abalone as an example This book continues to cover a broad range of topics related to quantitative methods and modelling. It offers a solid foundation in the skills required for the quantitative study of marine populations.

Taylor & Francis

Monte Carlo Simulation for the Pharmaceutical Industry

9781439835920 15.09.2010 Oprawa: twarda

£ 59,99

Mark Chang

Helping you become a creative, logical thinker and skillful 'simulator,' "Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies" provides broad coverage of the entire drug development process, from drug discovery to preclinical and clinical trial aspects to commercialization. It presents the theories and methods needed to carry out computer simulations efficiently, covers both descriptive and pseudocode algorithms that provide the basis for implementation of the simulation methods, and illustrates real-world problems through case studies. The text first emphasizes the importance of analogy and simulation using examples from a variety of areas, before introducing general sampling methods and the different stages of drug development. It then focuses on simulation approaches based on game theory and the Markov decision process, simulations in classical and adaptive trials, and various challenges in clinical trial management and execution.

Taylor & Francis


46 www.abe.pl

Multiple Comparisons Using R

9781584885740 02.08.2010 Oprawa: twarda

£ 56,99

Frank Bretz

Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available at http://CRAN.R-project.org After giving examples of multiplicity problems, the book covers general concepts and basic multiple comparisons procedures, including the Bonferroni method and Simes' test. It then shows how to perform parametric multiple comparisons in standard linear models and general parametric models. It also introduces the multcomp package in R, which offers a convenient interface to perform multiple comparisons in a general context. Following this theoretical framework, the book explores applications involving the Dunnett test, Tukey's all pairwise comparisons, and general multiple contrast tests for standard regression models, mixed-effects models, and parametric survival models.

Taylor & Francis

Nonparametric Statistical Tests: A Computational Approach

9781439867037 09.01.2012 Oprawa: twarda

£ 59,99

Markus Neuhauser

Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known methods such as the Baumgartner-Weiss-Schindler and the Cucconi tests. The book presents SAS and R programs, allowing readers to carry out the different statistical methods, such as permutation and bootstrap tests. The author considers example data sets in each chapter to illustrate methods. Numerous real-life data from various areas, including the bible, and their analyses provide for greatly diversified reading. The book covers:

Nonparametric two-sample tests for the location-shift model, specifically the Fisher-Pitman permutation test, the Wilcoxon rank sum test, and the Baumgartner-Weiss-Schindler test

Permutation tests, location-scale tests, tests for the nonparametric Behrens-Fisher problem, and tests for a difference in variability

Tests for the general alternative, including the (Kolmogorov-)Smirnov test, ordered categorical, and discrete numerical data

Taylor & Francis

...

Numerical Ecology with R

9781441979759 14.01.2011 Oprawa: miękka

€ 54,95

Daniel Borcard

Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the authors accompany the users through the exploration of the methods by means of applied and extensively commented examples. Users are invited to use this book as a teaching companion at the computer. The travel starts with exploratory approaches, proceeds with the construction of association matrices, then addresses three families of methods: clustering, unconstrained and canonical ordination, and spatial analysis. This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications.

Springer

Numerical Methods for Chemical Engineers Using Excel, VBA and MATLAB

9781466575349 03.04.2013 Oprawa: twarda

£ 38,99

Victor J. Law

While teaching the Numerical Methods for Engineers course over the last 15 years, the author found a need for a new textbook, one that was less elementary, provided applications and problems better suited for chemical engineers, and contained instruction in Visual Basic(R) for Applications (VBA). This led to six years of developing teaching notes that have been enhanced to create the current textbook, Numerical Methods for Chemical Engineers Using Excel(R), VBA, and MATLAB(R). Focusing on Excel gives the advantage of it being generally available, since it is present on every computer-PC and Mac-that has Microsoft Office installed. The VBA programming environment comes with Excel and greatly enhances the capabilities of Excel spreadsheets. While there is no perfect programming system, teaching this combination offers knowledge in a widely available program that is commonly used (Excel) as well as a popular academic software package (MATLAB). Chapters cover nonlinear equations, Visual Basic, linear algebra, ordinary differential equations, regression analysis, partial differential equations, and mathematical programming methods.

Taylor & Francis

Optimal Design for Nonlinear Response Models

9781439821510 24.06.2013 Oprawa: twarda

£ 57,99

Valerii V. Fedorov

This book examines the theory of optimal model-based design and provides examples of optimal designs for various models, mostly related to biopharmaceutical applications, such as dose-response studies. The authors pay special attention to adaptive or sequential optimal designs for nonlinear regression models when estimation and optimal design are performed in stages. Ideal for researchers in regression analysis and experimental design, the text illustrates optimal designs for various models using an example of the application of a first-order optimization algorithm in the space of information matrices, which is implemented in both MATLAB(R) and SAS.

Taylor & Francis

Optimal High-Throughput Screening

9780521734448 21.02.2011 Oprawa: miękka

£ 26,99

Xiaohua Douglas Zhang

This concise, self-contained and cohesive book focuses on commonly used and recently developed methods for designing and analyzing high-throughput screening (HTS) experiments from a statistically sound basis. Combining ideas from biology, computing and statistics, the author explains experimental designs and analytic methods that are amenable to rigorous analysis and interpretation of RNAi HTS experiments. The opening chapters are carefully presented to be accessible both to biologists with training only in basic statistics and to computational scientists and statisticians with basic biological knowledge. Biologists will see how new experiment designs and rudimentary data-handling strategies for RNAi HTS experiments can improve their results, whereas analysts will learn how to apply recently developed statistical methods to interpret HTS experiments.



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Patient-Reported Outcomes: From Measurement to Interpretation

9781439873670 30.12.2013 Oprawa: twarda

£ 63,99

Joseph C. Cappelleri

Covering conceptual and statistical methods, this book discusses the issues related to measuring and interpreting patient reported outcomes (PROs). It begins with a review and background information and then covers measurement scales, validity and reliability, item response theory, and missing data. The book also describes various statistical analysis techniques, including exploratory, cross-sectional, and longitudinal data analysis, and highlights the practical interpretation and application of the techniques in clinical and pharmaceutical settings. SAS code for all methods is available in an appendix and online.

Taylor & Francis

Pocket Medical Statistics: An A-Z of Critical Appraisal

9781444167344 01.11.2013 Oprawa: miękka

£ 14,99

Filomena Pereira-Maxwell

This concise dictionary of essential statistical terminology has been designed specifically with the needs of the clinician and health care practitioner in mind. Avoiding the complex language that is so often a feature of statistics and research methodology, A-Z of Medical Statistics provides clear and succinct explanations, clarifying meaning and showing the interdependencies between important concepts. Now presented in a handy pocket format, this expanded second edition is an invaluable companion for the reading and critical appraisal of medical literature, the latter now widely recognised to be a practical lifelong skill required by all medical practitioners and researchers. Key features:

Clear and user-friendly A-Z format, now in a pocket size, allows speedy access to information in all settings

Fully updated and expanded to cover over 500 statistical terms for comprehensive coverage

Taylor & Francis

...

Population Biology and Criticality

9781848164017 29.08.2010 Oprawa: twarda

£ 67,00

Nico Stollenwerk

The present book describes novel theories of mutation pathogen systems showing critical fluctuations, as a paradigmatic example of an application of the mathematics of critical phenomena to the life sciences. It will enable the reader to understand the implications and future impact of these findings, yet at same time allow him to actively follow the mathematical tools and scientific origins of critical phenomena. This book also seeks to pave the way to further fruitful applications of the mathematics of critical phenomena in other fields of the life sciences.


Preventing and Treating Missing Data in Longitudinal Clinical Trials

9781107679153 28.02.2013 Oprawa: miękka

£ 22,99

Craig Mallinckrodt

Recent decades have brought advances in statistical theory for missing data, which, combined with advances in computing ability, have allowed implementation of a wide array of analyses. In fact, so many methods are available that it can be difficult to ascertain when to use which method. This book focuses on the prevention and treatment of missing data in longitudinal clinical trials. Based on his extensive experience with missing data, the author offers advice on choosing analysis methods and on ways to prevent missing data through appropriate trial design and conduct. He offers a practical guide to key principles and explains analytic methods for the non-statistician using limited statistical notation and jargon. The book's goal is to present a comprehensive strategy for preventing and treating missing data, and to make available the programs used to conduct the analyses of the example dataset.


Quantitative Ecotoxicology

9781439835647 25.09.2012 Oprawa: twarda

£ 95,00

Michael C. Newman

Quantitative Ecotoxicology, Second Edition explores models and methods of quantitative ecotoxicology at progressively higher biological scales using worked examples and common software packages. It complements the author's previous books, Fundamentals of Ecotoxicology, Third Edition and Ecotoxicology: A Comprehensive Treatment. Encouraging a more rigorous inferential approach to research, the book examines the quantitative features of the science of ecotoxicology. The first chapters lay the foundation by introducing fundamental concepts and definitions. The author traces the historical perspective, rationale, and characteristics of scientific ecotoxicology as well as the general measurement process. He also considers methodologies for defining and controlling variance, which could otherwise exclude valid conclusions from ecotoxicological endeavors. The book then discusses ecotoxicological concepts at increasing levels of ecological organization and outlines quantitative methods used to measure toxicant accumulation and effects.

Taylor & Francis

...

Randomized Clinical Trials of Nonpharmacological Treatments

9781420088014 31.01.2012 Oprawa: twarda

£ 66,99

Isabelle Boutron

Nonpharmacological treatments include a wide variety of treatments such as surgery, technical procedures, implantable and non-implantable devices, rehabilitation, psychotherapy, and behavioral interventions. Unlike pharmacological treatments, these have no specific requirements for approval. Consequently, they can be widely proposed in clinical practice but may not have been adequately evaluated. This situation is an important barrier for the evaluation of the beneficial effects of these treatments and the conduct of clinical trials. Randomized Clinical Trials of Nonpharmacologic Treatments focuses on the methods for assessing nonpharmacological treatments, highlighting specific issues and trial design. Features:

Chapters written by international experts in the field

Highlights specific issues in assessing nonpharmacological treatments in trials including:

how to overcome the difficulties of blinding patients, care providers

Taylor & Francis


48 www.abe.pl

Randomized Phase II Cancer Clinical Trials

9781439871850 27.05.2013 Oprawa: twarda

£ 57,99

Sin-Ho Jung

In cancer research, a traditional phase II trial is designed as a single-arm trial that compares the experimental therapy to a historical control. This simple trial design has led to several adverse issues, including increased false positivity of phase II trial results and negative phase III trials. To rectify these problems, oncologists and biostatisticians have begun to use a randomized phase II trial that compares an experimental therapy with a prospective control therapy. Randomized Phase II Cancer Clinical Trials explains how to properly select and accurately use diverse statistical methods for designing and analyzing phase II trials. The author first reviews the statistical methods for single-arm phase II trials since some methodologies for randomized phase II trials stem from single-arm phase II trials and many phase II cancer clinical trials still use single-arm designs. The book then presents methods for randomized phase II trials and describes statistical methods for both single-arm and randomized phase II trials.

Taylor & Francis

Recent Advances in Biostatistics

9789814329798 25.03.2011 Oprawa: twarda

£ 63,00

Manish Bhattacharjee

This unique volume provides self-contained accounts of some recent trends in Biostatistics methodology and their applications. It includes state-of-the-art reviews and original contributions. The articles included in this volume are based on a careful selection of peer-reviewed papers, authored by eminent experts in the field, representing a well balanced mix of researchers from the academia, R&D sectors of government and the pharmaceutical industry. The book is also intended to give advanced graduate students and new researchers a scholarly overview of several research frontiers in biostatistics, which they can use to further advance the field through development of new techniques and results.


Regression Methods in Biostatistics

9781461413523 01.12.2011 Oprawa: twarda

€ 79,95

Eric Vittinghoff

This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes. Treating these topics together takes advantage of all they have in common. The authors point out the many-shared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way. The examples, analyzed using Stata, are drawn from the biomedical context but generalize to other areas of application. While a first course in statistics is assumed, a chapter reviewing basic statistical methods is included. Some advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for further reading are provided.

Springer

Regression Models as a Tool in Medical Research

9781466517486 29.11.2012 Oprawa: twarda

£ 57,99

Werner Vach

While regression models have become standard tools in medical research, understanding how to properly apply the models and interpret the results is often challenging for beginners. Regression Models as a Tool in Medical Research presents the fundamental concepts and important aspects of regression models most commonly used in medical research, including the classical regression model for continuous outcomes, the logistic regression model for binary outcomes, and the Cox proportional hazards model for survival data. The text emphasizes adequate use, correct interpretation of results, appropriate presentation of results, and avoidance of potential pitfalls. After reviewing popular models and basic methods, the book focuses on advanced topics and techniques. It considers the comparison of regression coefficients, the selection of covariates, the modeling of nonlinear and nonadditive effects, and the analysis of clustered and longitudinal data, highlighting the impact of selection mechanisms, measurement error, and incomplete covariate data. The text then covers the use of regression models to construct risk scores and predictors.

Taylor & Francis

Response-adaptive Designs in Clinical Trials

9781584886938 17.07.2013 Oprawa: miękka

£ 57,99

Atanu Biswas

Response-adaptive designs, which aim to reduce the number of patients receiving inferior treatments, are becoming increasingly popular in Phase III clinical trials. Written by leading experts, "Response-Adaptive Designs in Clinical Trials" provides an overview of the growing research in this area. It presents up-to-date methodology, and includes all necessary background material on adaptive clinical trials. Illustrating methods with numerous real-world examples from recent clinical trials, the book offers practical guidelines for applying these methods in the field, includes supporting software available for download, and explores future research directions.

Taylor & Francis

Richly Parameterized Models

9781439866832 31.12.2013 Oprawa: twarda

£ 57,99

James S Hodges

This book covers a wide range of statistical models, including hierarchical, hierarchical generalized linear, linear mixed, dynamic linear, smoothing, spatial, and longitudinal. It presents a framework for expressing these richly parameterized models together as well as tools for exploring and interpreting the results of fitting the models to data. It extends the standard theory of linear models and illustrates the advantages and disadvantages of various theories. The book also examines surprising or undesirable results arising in the use of the models to analyze real data sets from collaborative research.

Taylor & Francis


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Robust Nonparametric Statistical Methods

9781439809082 22.12.2010 Oprawa: twarda

£ 69,99

Thomas P. Hettmansperger

Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers univariate tests and estimates with extensions to linear models, multivariate models, times series models, experimental designs, and mixed models. It follows the approach of the first edition by developing rank-based methods from the unifying theme of geometry. This edition, however, includes more models and methods and significantly extends the possible analyses based on ranks. New to the Second Edition A new section on rank procedures for nonlinear models A new chapter on models with dependent error structure, covering rank methods for mixed models, general estimating equations, and time series New material on the development of computationally efficient affine invariant/equivariant sign methods based on transform-retransform techniques in multivariate models Taking a comprehensive, unified approach to statistical analysis, the book continues to describe one- and two-sample problems, the basic development of rank methods in the linear model, and fixed effects experimental designs.

Taylor & Francis

Robust Response Surfaces, Regression, and Positive Data Analyses

9781466506770 15.08.2013 Oprawa: twarda

£ 57,99

Rabindra Nath Das

There are many gaps in the existing literature of robust response surface designs (RSM) that need to be filled to solve real-life problems. This book presents the gaps and their solutions. The author proposes new concepts of RSM, along with the relevant regression analysis and positive data analysis techniques, and aims to remove many RSM limitations. Among a wide range of topics, the text covers applications of correlated regression analysis techniques in block design analysis, robust first and second order rotatable and optimal designs for normally distributed responses, as well as lifetime responses having log-normal, exponential, gamma and Weibull distributions.

Taylor & Francis

Simultaneous Inference in Regression

9781439828090 12.10.2010 Oprawa: twarda

£ 62,99

Wei Liu

The use of simultaneous confidence bands in linear regression is a vibrant area of research. This book presents an overview of the methodology and applications, including necessary background material on linear models. A special chapter on logistic regression gives readers a glimpse into how these methods can be used for generalized linear models. The appendices provide computational tools for simulating confidence bands. The author also includes MATLAB[registered] programs for all examples on the web. With many numerical examples and software implementation, this text serves the needs of researchers and graduate students interested in these methods as well as practitioners who wish to apply them.

Taylor & Francis

Spatial Data Analysis in Ecology and Agriculture Using R

9781439819135 05.04.2012 Oprawa: twarda

£ 57,99

Richard E. Plant

Assuming no prior knowledge of R, Spatial Data Analysis in Ecology and Agriculture Using R provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology and agriculture. Written in terms of four data sets easily accessible online, this book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Based on the author's spatial data analysis course at the University of California, Davis, the book is intended for classroom use or self-study by graduate students and researchers in ecology, geography, and agricultural science with an interest in the analysis of spatial data.

Taylor & Francis

Stastics for Biomedical Engineering

9781439897416 15.05.2013 Oprawa: twarda

£ 63,99

Martyn R Smith

This text covers the statistical methods necessary to carry out work in biomedical engineering and human health research. Highly interdisciplinary, it incorporates aspects from biostatistics, engineering statistics and probability, quality assurance, and epidemiology. The text begins with hypothesis testing and the scientific method, moves on to various statistical tests and modeling, and concludes with statistical theorems and probability. Examples and case studies are employed extensively to highlight the use and misuse of the statistical techniques and their interpretation in the scientific literature.

Taylor & Francis

Statistical Analysis in Microbiology: StatNotes

9780470559307 24.12.2010 Oprawa: miękka

£ 35,00

Richard A. Armstrong

This book is aimed primarily at microbiologists who are undertaking research, and who require a basic knowledge of statistics to analyse their experimental data. Computer software employing a wide range of data analysis methods is widely available to experimental scientists. The availability of this software, however, makes it even more essential that microbiologists understand the basic principles of statistics. Statistical analysis of data can be complex with many different methods of approach, each of which applies in a particular experimental circumstance. In addition, most statistical software commercially available is complex and difficult to use. Hence, it is easy to apply an incorrect statistical method to data and to draw the wrong conclusions from an experiment. The purpose of this book is an attempt to present the basic logic of statistics as clearly as possible and therefore, to dispel some of the myths that often surround the subject.

Wiley


50 www.abe.pl

Statistical Analysis of Human Growth and Development

9781439871546 15.12.2013 Oprawa: twarda

£ 63,99

Yin Bun Cheung (National Cancer Centre, Sin-

Human growth refers to changes in anthropometric measurements, such as fetal size parameters, height, weight, and body mass index. Development refers to changes in cognitive, social-emotional, locomotor, and other abilities. This book illustrates how statistical methods can be used to answer research questions in human growth and development. In addition to describing methods, it looks at how well a method addresses a specific research question and how to interpret and present the analytic results. Although the examples are drawn from human growth and development, the concepts and methods are applicable to studies of many other physical and psychological phenomena, such as lung function and depressive symptoms. Requiring introductory statistics knowledge, the book is intended for clinical researchers, epidemiologists, social scientists, statisticians, related researchers, and post-graduate students investigating human growth and development.

Taylor & Francis

Statistical and Computational Methods in Brain Image Analysis

9781439836354 26.07.2013 Oprawa: twarda

£ 63,99

Moo K. Chung

A major challenge in brain mapping is caused by the massive amount of nonstandard high dimensional data that is difficult to analyze using standard techniques. This book covers modern statistical and computational techniques for analyzing such data. Some methodological topics covered include finite mixture models, logistic models, nonparametric regression, mixed effects models, neural networks and support vector machines. Real datasets are used to illustrate the methods described and MATLAB(R) code to implement them. The book has an accompanying website where this material can be downloaded.

Taylor & Francis

Statistical Evaluation of Diagnostic Performance

9781439812228 27.07.2011 Oprawa: twarda

£ 59,99

Zou

Statistical evaluation of diagnostic performance in general and Receiver Operating Characteristic (ROC) analysis in particular are important for assessing the performance of medical tests and statistical classifiers, as well as for evaluating predictive models or algorithms. This book presents innovative approaches in ROC analysis, which are relevant to a wide variety of applications, including medical imaging, cancer research, epidemiology, and bioinformatics. Statistical Evaluation of Diagnostic Performance: Topics in ROC Analysis covers areas including monotone-transformation techniques in parametric ROC analysis, ROC methods for combined and pooled biomarkers, Bayesian hierarchical transformation models, sequential designs and inferences in the ROC setting, predictive modeling, multireader ROC analysis, and free-response ROC (FROC) methodology. The book is suitable for graduate-level students and researchers in statistics, biostatistics, epidemiology, public health, biomedical engineering, radiology, medical imaging, biomedical informatics, and other closely related fields.

Taylor & Francis

Statistical Learning for Biomedical Data

9780521699099 24.02.2011 Oprawa: miękka

£ 30,99

James D. Malley

This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomedical research. This introduction brings learning machine techniques to the biomedical world in an accessible way, explaining the underlying principles in nontechnical language and using extensive examples and figures. The authors connect these new methods to familiar techniques by showing how to use the learning machine models to generate smaller, more easily interpretable traditional models. Coverage includes single decision trees, multiple-tree techniques such as Random Forests(TM), neural nets, support vector machines, nearest neighbors and boosting.


...

Statistical Methods for Handling Incomplete Data

9781439849637 30.08.2013 Oprawa: twarda

£ 57,99

Jae Kwang Kim

With advances in computing power, there have been substantial developments in computational methods for handling missing data. This text presents an introduction to the theory, applications, and computational aspects of missing data analysis. It covers the three main methodological approaches: likelihood-based, nonparametric, and quasi-randomization. The text includes many real examples and integrates computer code where appropriate. It also provides exercises at the end of each chapter. A solutions manual is available for qualifying instructors.

Taylor & Francis

Statistical Methods for Qtl Mapping

9781439868300 16.09.2013 Oprawa: twarda

£ 57,99

Zehua Chen

QTL mapping remains a vibrant area of research in genetics. Proper and efficient statistical methods are crucial for QTL mapping to be fruitful, yet there are relatively few books covering these methods. This book presents a comprehensive and up-to-date overview of statistical methods for QTL mapping. It covers one-dimensional mapping, multiple interval mapping with various traits, nonparametric methods and Bayesian approaches, feature selection, and expression QTL mapping. The book includes the necessary biological and statistical background to appeal to both statisticians and geneticists.

Taylor & Francis


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Statistical Methods for Trend Detection and Analysis in the Environmental

9780470015438 11.03.2011 Oprawa: twarda

£ 65,00

Richard Chandler

The need to understand and quantify change is fundamental throughout the environmental sciences. This might involve describing past variation, understanding the mechanisms underlying observed changes, making projections of possible future change, or monitoring the effect of intervening in some environmental system. This book provides an overview of modern statistical techniques that may be relevant in problems of this nature. Practitioners studying environmental change will be familiar with many classical statistical procedures for the detection and estimation of trends. However, the ever increasing capacity to collect and process vast amounts of environmental information has led to growing awareness that such procedures are limited in the insights that they can deliver. At the same time, significant developments in statistical methodology have often been widely dispersed in the statistical literature and have therefore received limited exposure in the environmental science community. This book aims to provide a thorough but accessible review of these developments.

Wiley

Statistical Methods in Diagnostic Medicine

9780470183144 05.04.2011 Oprawa: twarda

£ 76,95

Xiao-Hua Zhou

Praise for the First Edition " ...the book is a valuable addition to the literature in the field, serving as a much-needed guide for both clinicians and advanced students."--Zentralblatt MATH A new edition of the cutting-edge guide to diagnostic tests in medical research In recent years, a considerable amount of research has focused on evolving methods for designing and analyzing diagnostic accuracy studies. Statistical Methods in Diagnostic Medicine, Second Edition continues to provide a comprehensive approach to the topic, guiding readers through the necessary practices for understanding these studies and generalizing the results to patient populations. Following a basic introduction to measuring test accuracy and study design, the authors successfully define various measures of diagnostic accuracy, describe strategies for designing diagnostic accuracy studies, and present key statistical methods for estimating and comparing test accuracy.

Wiley

Statistical Methods in Healthcare

9780470670156 31.08.2012 Oprawa: twarda

£ 108,00

Frederick Faltin

In recent years the number of innovative medicinal products and devices submitted and approved by regulatory bodies has declined dramatically. The medical product development process is no longer able to keep pace with increasing technologies, science and innovations and the goal is to develop new scientific and technical tools and to make product development processes more efficient and effective. Statistical Methods in Healthcare focuses on the application of statistical methodologies to evaluate promising alternatives and to optimize the performance and demonstrate the effectiveness of those that warrant pursuit is critical to success. Statistical methods used in planning, delivering and monitoring health care, as well as selected statistical aspects of the development and/or production of pharmaceuticals and medical devices are also addressed. With a focus on finding solutions to these challenges, this book: Provides a comprehensive, in-depth treatment of statistical methods in healthcare, along with a reference source for practitioners and specialists in health care and drug development.

Wiley

Statistical Modelling of Molecular Descriptors in QSAR/QSPR

9783527324347 22.02.2012 Oprawa: twarda

£ 105,00

Matthias Dehmer

This handbook and ready reference presents a combination of statistical, information-theoretic, and data analysis methods to meet the challenge of designing empirical models involving molecular descriptors within bioinformatics. The topics range from investigating information processing in chemical and biological networks to studying statistical and information-theoretic techniques for analyzing chemical structures to employing data analysis and machine learning techniques for QSAR/QSPR. The high-profile international author and editor team ensures excellent coverage of the topic, making this a must-have for everyone working in chemoinformatics and structure-oriented drug design.

Wiley

Statistical Physics of Biomolecules

9781420073782 04.06.2010 Oprawa: twarda

£ 62,99

Daniel M. Zuckerman

It is essential for modern students of molecular behavior to understand the statistical/chemical physics at the heart of modern molecular science. But traditional presentations of this material are often difficult to penetrate. This volume brings "down to earth" some of the most intimidating but important theories of molecular biophysics. Students build understanding by focusing on topics such as probability theory, low-dimensional models, and the simplest molecular systems. The book's accessible development of equilibrium and dynamical statistical physics makes this a valuable text for students with limited physics and chemistry backgrounds.

Taylor & Francis

Statistical Thinking in Epidemiology

9781420099911 25.07.2011 Oprawa: twarda

£ 59,99

Yu-Kang Tu

Addressing issues that have plagued researchers throughout the last decade, this book provides new insights into the many existing problems in statistical modeling and offers several alternative strategies to approach these problems. Emphasizing the importance of statistical thinking behind all analyses, the authors use specific examples in epidemiology to illustrate different model specifications that can imply different sets of causal relationships between variables. Each model is interpreted with regard to the context of implicit or explicit causal relationships. The authors also use vector geometry where applicable to provide an intuitive understanding of important statistical concepts.

Taylor & Francis


52 www.abe.pl

Statistics and Data Analysis for Microarrays Using R and Bioconductor

9781439809754 23.11.2011 Oprawa: twarda

£ 57,99

Sorin Draghici

Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notations, the text takes a hands-on, example-based approach that teaches students the basics of R and microarray technology as well as how to choose and apply the proper data analysis tool to specific problems. New to the Second Edition Completely updated and double the size of its predecessor, this timely second edition replaces the commercial software with the open source R and Bioconductor environments. Fourteen new chapters cover such topics as the basic mechanisms of the cell, reliability and reproducibility issues in DNA microarrays, basic statistics and linear models in R, experiment design, multiple comparisons, quality control, data pre-processing and normalization, Gene Ontology analysis, pathway analysis, and machine learning techniques.

Taylor & Francis

Statistics for Censored Environmental Data Using Minitab and R

9780470479889 20.02.2012 Oprawa: twarda

£ 76,95

Dennis R. Helsel

This Second Edition solves a current dilemma that occurs across a wide spectrum of environmental science: how to correctly analyze and interpret censored data (data below detection limits). It adapts survival analysis methods and demonstrates their practical applications when studyingtrace chemicals in air, water, soils, and biota. This edition features new chapters on plotting data with nondetects, multivariate procedures, and software for data with nondetects, as well as expanded and new sections, including a new section on testing censored data for normal distributions. Environmental professionals and upper-undergraduate and graduate students will rely on this resource.

Wiley

Statistics for Earth and Environmental Scientists

9780470584699 03.01.2011 Oprawa: twarda

£ 73,50

John Schuenemeyer

A comprehensive treatment of statistical applications for solving real-world environmental problems A host of complex problems face today's earth science community, such as evaluating the supply of remaining non-renewable energy resources, assessing the impact of people on the environment, understanding climate change, and managing the use of water. Proper collection and analysis of data using statistical techniques contributes significantly toward the solution of these problems. Statistics for Earth and Environmental Scientists presents important statistical concepts through data analytic tools and shows readers how to apply them to real-world problems. The authors present several different statistical approaches to the environmental sciences, including Bayesian and nonparametric methodologies. The book begins with an introduction to types of data, evaluation of data, modeling and estimation, random variation, and sampling--all of which are explored through case studies that use real data from earth science applications.

Wiley

Statistics for Spatio-Temporal Data

9780471692744 19.04.2011 Oprawa: twarda

£ 56,95

Noel Cressie

A state-of-the-art presentation of spatio-temporal processes, bridging classic ideas with modern hierarchical statistical modeling concepts and the latest computational methods From understanding environmental processes and climate trends to developing new technologies for mapping public-health data and the spread of invasive-species, there is a high demand for statistical analyses of data that take spatial, temporal, and spatio-temporal information into account. Statistics for Spatio-Temporal Data presents a systematic approach to key quantitative techniques that incorporate the latest advances in statistical computing as well as hierarchical, particularly Bayesian, statistical modeling, with an emphasis on dynamical spatio-temporal models. Cressie and Wikle supply a unique presentation that incorporates ideas from the areas of time series and spatial statistics as well as stochastic processes. Beginning with separate treatments of temporal data and spatial data, the book combines these concepts to discuss spatio-temporal statistical methods for understanding complex processes.

Wiley

Statistics for the Life Sciences

9780321709677 17.12.2010 Oprawa: miękka

£ 62,99

Myra L. Samuels

Statistics for the Life Sciences, Fourth Edition, covers the key concepts of statistics as applied to the life sciences, while incorporating the tools and themes of modern data analysis. This text uses an abundance of real data in the exercises and examples, and minimizes computation, so that readers can focus on the statistical concepts and issues, not the mathematics. Basic algebra is assumed as a prerequisite.

Pearson Education

Statistics of Medical Imaging

9781420088427 12.01.2012 Oprawa: twarda

£ 63,99

Tianhu Lei

Extensive work is being done in the statistical aspects of medical imaging, and this book fills the gap in the literature to provide a unified framework of study. It presents a complete look at medical imaging and statistics, from the statistical aspects of imaging technology to the statistical analysis of images. It provides technicians and students with the statistical principles that underlay medical imaging and offers reference material for researchers involved in the design of new technology. Illustrations are included throughout as are many real examples and algorithms. The text also includes exercises developed out of the author's many years of experience.

Taylor & Francis


www.abe.pl 53

Survival Analysis

9781441966452 20.10.2011 Oprawa: twarda

€ 89,95

David G. Kleinbaum

An excellent introduction for all those coming to the subject for the first time. New material has been added to the second edition and the original six chapters have been modified. The previous edition sold 9500 copies world wide since its release in 1996. Based on numerous courses given by the author to students and researchers in the health sciences and is written with such readers in mind. Provides a "user-friendly" layout and includes numerous illustrations and exercises. Written in such a way so as to enable readers learn directly without the assistance of a classroom instructor. Throughout, there is an emphasis on presenting each new topic backed by real examples of a survival analysis investigation, followed up with thorough analyses of real data sets.

Springer

Survival Analysis in Medicine and Genetics

9781439893111 26.06.2013 Oprawa: twarda

£ 63,99

Jialiang Li

This text introduces up-to-date statistical methods for survival data analysis in medicine and genetics. Along with classical results, it presents new developments in interval censoring, statistical diagnostics with time-dependent outcomes, analysis of ultrahigh-dimensional data sets, cure rate models, and repeated measure data. Suitable for both graduate students and biomedical researchers, the text covers applications in cancer studies, medical diagnosis, genetics, and genomics. It provides R code and example data sets online.

Taylor & Francis

Testing Statistical Hypotheses of Equivalence and Noninferiority

9781439808184 30.06.2010 Oprawa: twarda

£ 69,99

Stefan Wellek

While continuing to focus on methods of testing for two-sided equivalence, "Testing Statistical Hypotheses of Equivalence and Noninferiority, Second Edition" gives much more attention to noninferiority testing. It covers a spectrum of equivalence testing problems of both types, ranging from a one-sample problem with normally distributed observations of fixed known variance to problems involving several dependent or independent samples and multivariate data. Along with expanding the material on noninferiority problems, this edition includes new chapters on equivalence tests for multivariate data and tests for relevant differences between treatments. A majority of the computer programs offered online are now available not only in SAS or Fortran but also as R scripts or as shared objects that can be called within the R system. This book provides readers with a rich repertoire of efficient solutions to specific equivalence and noninferiority testing problems frequently encountered in the analysis of real data sets. It first presents general approaches to problems of testing for noninferiority and two-sided equivalence.

Taylor & Francis

The Design and Management of Medical Device Clinical Trials

9780470602256 16.07.2010 Oprawa: twarda

£ 62,50

Salah Abdel-aleem

Clinical trials tasks and activities are widely diverse and require certain skill sets to both plan and execute. This book provides professionals in the field of clinical research with valuable information on the challenging issues of the design, execution, and management of clinical trials, and how to resolve these issues effectively. It discusses key obstacles such as challenges to patient recruitment, investigator and study site selection, and dealing with compliance issues. Through practical examples, professionals working with medical device clinical trials will discover the appropriate steps to take.

Wiley

The Essentials of Biostatistics for Physicians, Nurses, and Clinicians

9780470641859 30.09.2011 Oprawa: miękka

£ 50,00

Michael R. Chernick

A fundamental and straightforward guide to using and understanding statistical concepts in medical research Designed specifically for healthcare practitioners who need to understand basic biostatistics but do not have much time to spare, The Essentials of Biostatistics for Physicians, Nurses and Clinicians presents important statistical methods used in today's biomedical research and provides insight on their appropriate application. Rather than provide detailed mathematics for each of these methods, the book emphasizes what healthcare practitioners need to know to interpret and incorporate the latest biomedical research into their practices. The author draws from his own experience developing and teaching biostatistics courses for physicians and nurses, offering a presentation that is non-technical and accessible. The book begins with a basic introduction to the relationship between biostatistics and medical research, asking the question "why study statistics?," while also exploring the significance of statisitcal methods in medical literature and clinical trials research.

Wiley

Theory of Drug Development

9781466507463 15.07.2013 Oprawa: twarda

£ 57,99

Eric B Holmgren

During drug development, pharmaceutical companies test new molecules and assemble the necessary evidence required by regulatory agencies to show that a drug is safe and effective. This book presents a quantitative framework for evaluating the efficiency of the drug development process as well as the quality of the resulting evidence supporting clinical efficacy. Using this framework, the author formally evaluates a variety of issues that arise in drug development, from surrogate variables, targeted therapies, and interim analysis to seamless phase II/III designs.

Taylor & Francis


54 www.abe.pl

Time Series Modeling of Neuroscience Data

9781420094602 09.02.2012 Oprawa: twarda

£ 63,99

Tohru Ozaki

Recent advances in brain science measurement technology have given researchers access to very large-scale time series data such as EEG/MEG data (20 to 100 dimensional) and fMRI (140,000 dimensional) data. To analyze such massive data, efficient computational and statistical methods are required. Time Series Modeling of Neuroscience Data shows how to efficiently analyze neuroscience data by the Wiener-Kalman-Akaike approach, in which dynamic models of all kinds, such as linear/nonlinear differential equation models and time series models, are used for whitening the temporally dependent time series in the framework of linear/nonlinear state space models. Using as little mathematics as possible, this book explores some of its basic concepts and their derivatives as useful tools for time series analysis. Unique features include:

A statistical identification method of highly nonlinear dynamical systems such as the Hodgkin-Huxley model, Lorenz chaos model, Zetterberg Model, and more

Methods and applications for Dynamic Causality Analysis developed by Wiener, Granger, and Akaike

Taylor & Francis

Understanding Biostatistics

9780470666364 18.03.2011 Oprawa: twarda

£ 60,00

Anders Kallen

Understanding Biostatistics looks at the fundamentals of biostatistics, using elementary statistics to explore the nature of statistical tests. This book is intended to complement first-year statistics and biostatistics textbooks. The main focus here is on ideas, rather than on methodological details. Basic concepts are illustrated with representations from history, followed by technical discussions on what different statistical methods really mean. Graphics are used extensively throughout the book in order to introduce mathematical formulae in an accessible way. Key features: Discusses confidence intervals and p-values in terms of confidence functions. Explains basic statistical methodology represented in terms of graphics rather than mathematical formulae, whilst highlighting the mathematical basis of biostatistics. Looks at problems of estimating parameters in statistical models and looks at the similarities between different models. Provides an extensive discussion on the position of statistics within the medical scientific process. Discusses distribution functions, including the Guassian distribution and its importance in biostatistics.

Wiley

Using R for Data Management, Statistical Analysis, and Graphics

9781439827550 02.08.2010 Oprawa: miękka

£ 41,99

Ken Kleinman

Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphics Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation and vast number of add-on packages. Organized by short, clear descriptive entries, the book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, multivariate methods, and the creation of graphics. Through the extensive indexing, cross-referencing, and worked examples in this text, users can directly find and implement the material they need. The text includes convenient indices organized by topic and R syntax. Demonstrating the R code in action and facilitating exploration, the authors present example analyses that employ a single data set from the HELP study. They also provide several case studies of more complex applications. Data sets and code are available for download on the book's website.

Taylor & Francis

Using SAS for Data Management, Statistical Analysis, and Graphics

9781439827574 16.07.2010 Oprawa: miękka

£ 41,99

Ken Kleinman

This title offers quick and easy access to key element of documentation. It includes worked examples across a wide variety of applications, tasks, and graphics. A unique companion for statistical coders, "Using SAS for Data Management, Statistical Analysis, and Graphics" presents an easy way to learn how to perform an analytical task in SAS, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation. Organized by short, clear descriptive entries, the book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, multivariate methods, and the creation of graphics. Through the extensive indexing, cross-referencing, and worked examples in this text, users can directly find and implement the material they need. The text includes convenient indices organized by topic and SAS syntax. Demonstrating the SAS code in action and facilitating exploration, the authors present example analyses that employ a single data set from the help study. They also provide several case studies of more complex applications.

Taylor & Francis

Visualizing Data Patterns with Micromaps

9781420075731 29.04.2010 Oprawa: twarda

£ 48,99

Carr

After more than 15 years of development drawing on research in cognitive psychology, statistical graphics, computer science, and cartography, micromap designs are becoming part of mainstream statistical visualizations. Bringing together the research of two leaders in this field, Visualizing Data Patterns with Micromaps presents the many design variations and applications of micromaps, which link statistical information to an organized set of small maps. This full-color book helps readers simultaneously explore the statistical and geographic patterns in their data. After illustrating the three main types of micromaps, the authors summarize the research behind the design of visualization tools that support exploration and communication of spatial data patterns. They then explain how these research findings can be applied to micromap designs in general and detail the specifics involved with linked, conditioned, and comparative micromap designs.

Taylor & Francis

STATYSTYKA

OBLICZENIOWA


Statystyka obliczeniowa

56 www.abe.pl

A Visual Guide to Stata Graphics

9781597181068 07.02.2012 Oprawa: miękka

£ 57,99

Michael N. Mitchell

Whether you are new to Stata graphics or a seasoned veteran, A Visual Guide to Stata Graphics, Third Edition will reach you how to use Stata to make publication-quality graphics that will stand out and enhance your statistical results. With over 900 illustrated examples and quick-reference tabs, this book quickly guides you to the information you need for creating and customizing high-quality graphs for any type of statistical data. Each graph is displayed in full color with simple and clear instructions that illustrate how to create and customize graphs using either Stata commands or the Stata Graph Editor. Stata's powerful graphics system gives you complete control over how the elements of your graph look, from marker symbols to lines, from legends to captions and titles, from axis labels to grid lines, and more. Whether you use this book as a learning tool or a quick reference, you will have the power of Stata graphics at your fingertips. The third edition has been updated and expanded to reflect new Stat graphics features, and includes many additional examples. This updated edition illustrates new features to specify fonts and symbols.

Taylor & Francis

Advanced Markov Chain Monte Carlo Methods

9780470748268 16.07.2010 Oprawa: twarda

£ 67,50

Faming Liang

Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing. This book discusses recent developments of MCMC methods with an emphasis on those making use of past sample information during simulations. The application examples are drawn from diverse fields such as bioinformatics, machine learning, social science, combinatorial optimization, and computational physics. Key Features: Expanded coverage of the stochastic approximation Monte Carlo and dynamic weighting algorithms that are essentially immune to local trap problems. A detailed discussion of the Monte Carlo Metropolis-Hastings algorithm that can be used for sampling from distributions with intractable normalizing constants. Up-to-date accounts of recent developments of the Gibbs sampler. Comprehensive overviews of the population-based MCMC algorithms and the MCMC algorithms with adaptive proposals. This book can be used as a textbook or a reference book for a one-semester graduate course in statistics, computational biology, engineering, and computer sciences. Applied or theoretical researchers will also find this book beneficial.

Wiley

An Elementary Introduction to Statistical Learning Theory

9780470641835 15.07.2011 Oprawa: twarda

£ 66,50

Sanjeev Kulkarni

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory. Explaining these areas at a level and in a way that is not often found in other books on the topic, the authors present the basic theory behind contemporary machine learning and uniquely utilize its foundations as a framework for philosophical thinking about inductive inference. Promoting the fundamental goal of statistical learning, knowing what is achievable and what is not, this book demonstrates the value of a systematic methodology when used along with the needed techniques for evaluating the performance of a learning system. First, an introduction to machine learning is presented that includes brief discussions of applications such as image recognition, speech recognition, medical diagnostics, and statistical arbitrage.

Wiley

An Introduction to Stata for Health Researchers

9781597180771 01.10.2010 Oprawa: miękka

£ 49,99

Svend Juul

An Introduction to Stata for Health Researchers, Third Edition systematically covers data management, simple description and analysis, and more advanced analyses that are most often used in health research, such as regression models, survival analysis, measurement, and diagnosis. It also describes many graph types as well as how to modify the appearance of a graph. Throughout the text, the authors emphasize the importance of good documentation habits to prevent errors and wasted time. They demonstrate the use of strategies and tools for documentation. Robust data sets can be downloaded from the book's website. What's New This third edition presents some of the new features in Stata 11, including the new, flexible syntax for factor variables. It also incorporates Stata 11 in the rewritten chapters on regression and survival analysis. Taking into account the improved availability of online documentation, this edition points to further reading in the online manuals.

Taylor & Francis

An R Companion to Linear Statistical Models

9781439873656 20.10.2011 Oprawa: twarda

£ 52,99

Christopher Hay-Jahans

Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: those who are familiar with the theory and applications of linear statistical models and wish to learn or enhance their skills in R; and those who are enrolled in an R-based course on regression and analysis of variance. For those who have never used R, the book begins with a self-contained introduction to R that lays the foundation for later chapters. This book includes extensive and carefully explained examples of how to write programs using the R programming language. These examples cover methods used for linear regression and designed experiments with up to two fixed-effects factors, including blocking variables and covariates. It also demonstrates applications of several pre-packaged functions for complex computational procedures.

Taylor & Francis

Analysis of Questionnaire Data with R

9781439817667 26.09.2011 Oprawa: twarda

£ 59,99

Bruno Falissard

While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool. As with written material, there are almost always differences between the meaning of the original text and translated text. Additionally, many versions can be suggested, each with their advantages and disadvantages. Analysis of Questionnaire Data with R translates certain classic research questions into statistical formulations. As indicated in the title, the syntax of these statistical formulations is based on the well-known R language, chosen for its popularity, simplicity, and power of its structure. Although syntax is vital, understanding the semantics is the real challenge of any good translation. In this book, the semantics of theoretical-to-practical translation emerges progressively from examples and experience, and occasionally from mathematical considerations. Sometimes the interpretation of a result is not clear, and there is no statistical tool really suited to the question at hand. Sometimes data sets contain errors, inconsistencies between answers, or missing data.

Taylor & Francis


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Applied Medical Statistics Using SAS

9781439867976 30.10.2012 Oprawa: twarda

£ 57,99

Geoff Der

Written with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing medical data. Applied Medical Statistics Using SAS covers the whole range of modern statistical methods used in the analysis of medical data, including regression, analysis of variance and covariance, longitudinal and survival data analysis, missing data, generalized additive models (GAMs), and Bayesian methods. The book focuses on performing these analyses using SAS, the software package of choice for those analysing medical data. Features

Covers the planning stage of medical studies in detail; several chapters contain details of sample size estimation

Illustrates methods of randomisation that might be employed for clinical trials

Covers topics that have become of great importance in the 21st century, including Bayesian methods and multiple imputation

Taylor & Francis

Applied Reliability

9781584884668 26.08.2011 Oprawa: twarda

£ 63,99

David C. Trindade

Since the publication of the second edition of Applied Reliability in 1995, the ready availability of inexpensive, powerful statistical software has changed the way statisticians and engineers look at and analyze all kinds of data. Problems in reliability that were once difficult and time consuming even for experts can now be solved with a few well-chosen clicks of a mouse. However, software documentation has had difficulty keeping up with the enhanced functionality added to new releases, especially in specialized areas such as reliability analysis. Using analysis capabilities in spreadsheet software and two well-maintained, supported, and frequently updated, popular software packages-Minitab and SAS JMP-the third edition of Applied Reliability is an easy-to-use guide to basic descriptive statistics, reliability concepts, and the properties of lifetime distributions such as the exponential, Weibull, and lognormal. The material covers reliability data plotting, acceleration models, life test data analysis, systems models, and much more. The third edition includes a new chapter on Bayesian reliability analysis and expanded, updated coverage of repairable system modeling.

Taylor & Francis

Applied Survey Data Analysis

9781420080667 07.04.2010 Oprawa: twarda

£ 52,99

Steven G. Heeringa

Taking a practical approach that draws on the authors’ extensive teaching, consulting, and research experiences, Applied Survey Data Analysis provides an intermediate-level statistical overview of the analysis of complex sample survey data. It emphasizes methods and worked examples using available software procedures while reinforcing the principles and theory that underlie those methods. After introducing a step-by-step process for approaching a survey analysis problem, the book presents the fundamental features of complex sample designs and shows how to integrate design characteristics into the statistical methods and software for survey estimation and inference. The authors then focus on the methods and models used in analyzing continuous, categorical, and count-dependent variables; event history; and missing data problems. Some of the techniques discussed include univariate descriptive and simple bivariate analyses, the linear regression model, generalized linear regression modeling methods, the Cox proportional hazards model, discrete time models, and the multiple imputation analysis method.

Taylor & Francis

Bayesian Computation with R

9780387922973 01.06.2009 Oprawa: miękka

€ 44,95

Jim Albert

There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R for statistical analyses. R's open source nature, free availability, and large number of contributor packages have made R the software of choice for many statisticians in education and industry. Bayesian Computation with R introduces Bayesian modeling by the use of computation using the R language. The early chapters present the basic tenets of Bayesian thinking by use of familiar one and two-parameter inferential problems. Bayesian computational methods such as Laplace's method, rejection sampling, and the SIR algorithm are illustrated in the context of a random effects model. The construction and implementation of Markov Chain Monte Carlo (MCMC) methods is introduced. These simulation-based algorithms are implemented for a variety of Bayesian applications such as normal and binary response regression, hierarchical modeling, order-restricted inference, and robust modeling.

Springer

Bayesian Programming

9781439880326 06.10.2013 Oprawa: twarda

£ 57,99

Pierre Bessiere

To create a complete computing Bayesian framework, a new modeling methodology is needed to build probabilistic models; new inference algorithms are required to automate probabilistic calculus; and new programming languages are sought to implement these models on computers; eventually, new hardware will also be necessary to run these Bayesian programs efficiently. This book describes the current first steps toward the ultimate goal of creating a Bayesian computer. Written by leading researchers, the text focuses on Bayesian programming and requires only basic knowledge of mathematics, making it accessible to non-experts. It presents applications from various areas such as robotics.

Taylor & Francis

Computational and Statistical Methods for Protein Quantification by Mass Spectrometry

9781119964001 04.01.2013 Oprawa: twarda

£ 60,00

Ingvar Eidhammer

The definitive introduction to data analysis in quantitative proteomics This book provides all the necessary knowledge about mass spectrometry based proteomics methods and computational and statistical approaches to pursue the planning, design and analysis of quantitative proteomics experiments. The author's carefully constructed approach allows readers to easily make the transition into the field of quantitative proteomics. Through detailed descriptions of wet-lab methods, computational approaches and statistical tools, this book covers the full scope of a quantitative experiment, allowing readers to acquire new knowledge as well as acting as a useful reference work for more advanced readers. Computational and Statistical Methods for Protein Quantification by Mass Spectrometry: Introduces the use of mass spectrometry in protein quantification and how the bioinformatics challenges in this field can be solved using statistical methods and various software programs. Is illustrated by a large number of figures and examples as well as numerous exercises. Provides both clear and rigorous descriptions of methods and approaches.

Wiley


58 www.abe.pl

Computational Statistics

9780470533314 07.12.2012 Oprawa: twarda

£ 83,50

Geof H. Givens

This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. The book is comprised of four main parts spanning the field:

Optimization

Integration and Simulation

Bootstrapping

Density Estimation and Smoothing Within these sections,each chapter includes a comprehensive introduction and step-by-step implementation summaries to accompany the explanations of key methods. The new edition includes updated coverage and existing topics as well as new topics such as adaptive MCMC and bootstrapping for correlated data. The book website now includes comprehensive R code for the entire book. There are extensive exercises, real examples, and helpful insights about how to use the methods in practice.

Wiley

Data Analysis and Graphics Using R: An Example-Based Approach

9780521762939 06.05.2010 Oprawa: twarda

£ 50,00

John Maindonald

Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from real-world research, are accompanied by commentary on what is done and why. The companion website has code and datasets, allowing readers to reproduce all analyses, along with solutions to selected exercises and updates. Assuming basic statistical knowledge and some experience with data analysis (but not R), the book is ideal for research scientists, final-year undergraduate or graduate-level students of applied statistics, and practising statisticians. It is both for learning and for reference. This third edition expands upon topics such as Bayesian inference for regression, errors in variables, generalized linear mixed models, and random forests.


Data Management Using Stata: A Practical Handbook

9781597180764 08.07.2010 Oprawa: miękka

£ 44,99

Michael N. Mitchell

Using simple language and illustrative examples, this book comprehensively covers data management tasks that bridge the gap between raw data and statistical analysis. Rather than focus on clusters of commands, the author takes a modular approach that enables readers to quickly identify and implement the necessary task without having to access background information first. Each section in the chapters presents a self-contained lesson that illustrates a particular data management task via examples, such as creating data variables and automating error checking. The text also discusses common pitfalls and how to avoid them and provides strategic data management advice. Ideal for both beginning statisticians and experienced users, this handy book helps readers solve problems and learn comprehensive data management skills.

Taylor & Francis

Data Manipulation with R

9780387747309 07.04.2008 Oprawa: miękka

€ 59,95

Phil Spector

This book presents a wide array of methods applicable for reading data into R, and efficiently manipulating that data. In addition to the built-in functions, a number of readily available packages from CRAN (the Comprehensive R Archive Network) are also covered. All of the methods presented take advantage of the core features of R: vectorization, efficient use of subscripting, and the proper use of the varied functions in R that are provided for common data management tasks. Most experienced R users discover that, especially when working with large data sets, it may be helpful to use other programs, notably databases, in conjunction with R. Accordingly, the use of databases in R is covered in detail, along with methods for extracting data from spreadsheets and datasets created by other programs. Character manipulation, while sometimes overlooked within R, is also covered in detail, allowing problems that are traditionally solved by scripting languages to be carried out entirely within R. For users with experience in other languages, guidelines for the effective use of programming constructs like loops are provided.

Springer

Data Mining with Rattle and R

9781441998897 25.02.2011 Oprawa: miękka

€ 54,95

Graham Williams

Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing. This book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. "Coupling Rattle with R" delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings.

Springer

Dynamic Prediction in Clinical Survival Analysis

9781439835333 10.11.2011 Oprawa: twarda

£ 59,99

Hans van Houwelingen

There is a huge amount of literature on statistical models for the prediction of survival after diagnosis of a wide range of diseases like cancer, cardiovascular disease, and chronic kidney disease. Current practice is to use prediction models based on the Cox proportional hazards model and to present those as static models for remaining lifetime after diagnosis or treatment. In contrast, Dynamic Prediction in Clinical Survival Analysis focuses on dynamic models for the remaining lifetime at later points in time, for instance using landmark models. Designed to be useful to applied statisticians and clinical epidemiologists, each chapter in the book has a practical focus on the issues of working with real life data. Chapters conclude with additional material either on the interpretation of the models, alternative models, or theoretical background.

Taylor & Francis


www.abe.pl 59

Equivalence and Noninferiority Tests for Quality, Manufacturing and Test Engineers

9781466586888 15.09.2013 Oprawa: twarda

£ 82,00

Scott Pardo

This work provides readers with a set of statistical methods useful for demonstrating equivalence or noninferiority of new or revised systems either compared to previously existing systems or previously established performance guidelines. These tests are often performed in the context of process or product validation. The author describes all the necessary calculations, which can be made using software such as Minitab or JMP. Fully worked examples are provided for each method.

Taylor & Francis

Flexible Parametric Survival Analysis Using Stata

9781597180795 15.08.2011 Oprawa: miękka

£ 49,99

Patrick Royston

Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses the modeling of time-dependent and continuous covariates and looks at how relative survival can be used to measure mortality associated with a particular disease when the cause of death has not been recorded. The book describes simple quantification of differences between any two covariate patterns through calculation of time-dependent hazard ratios, hazard differences, and survival differences.

Taylor & Francis

Foundations of Interconnection Networks

9781466559424 05.12.2013 Oprawa: twarda

£ 57,99

A.Yavuz Oruc

Suitable for researchers and graduate students in computer science, electrical engineering, and applied mathematics, this book presents a concise yet complete account of the most significant results in interconnection network theory. The authors give a mathematical classification and characterization of the key interconnection functions of networks and establish their switching factor complexities using combinatorial methods. The text leads readers through the historical development, covering major contributions from Shannon, Clos, Benes, Cantor, Pinsker, and Margulis. It also explores recent results, such as quantum switching networks.

Taylor & Francis

Ggplot2

9780387981406 07.08.2009 Oprawa: miękka

€ 52,95

Hadley Wickham

This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkison's Grammar of Graphics to create a powerful and flexible system for creating data graphics. With ggplot2, it's easy to:

produce handsome, publication-quality plots, with automatic legends created from the plot specification

superpose multiple layers (points, lines, maps, tiles, box plots to name a few) from different data sources, with automatically adjusted common scales

add customisable smoothers that use the powerful modelling capabilities of R, such as loess, linear models, generalised additive models and robust regression

save any ggplot2 plot (or part thereof) for later modification or reuse

create custom themes that capture in-house or journal style requirements, and that can easily be applied to multiple plots

Springer

Guidebook to R Graphics Using Microsoft Windows

9781118026397 30.03.2012 Oprawa: miękka

£ 46,95

Kunio Takezawa

This book introduces the graphical capabilities of R to readers new to the software, taking readers step by step through the process of creating histograms, boxplots, strip charts, time series graphs, steam-and-leaf displays, scatterplot matrices, and map graphs. Throughout the book, concise explanations of key concepts of R graphics assist readers in carrying out the presented procedures. The discussed techniques are accompanied by a wealth of screenshots and graphics with related R code available on the book's FTP site, and numerous exercises allow readers to test their understanding of the presented material.

Wiley

Handbook of Partial Least Squares: Concepts, Methods and Applications in

9783540328254 30.05.2007 Oprawa: twarda

€ 286

Vincenzo Esposito Vinzi

This handbook provides a comprehensive overview of Partial Least Squares (PLS) methods with specific reference to their use in marketing and with a discussion of the directions of current research and perspectives. It covers the broad area of PLS methods, from regression to structural equation modeling applications, software and interpretation of results. The handbook serves both as an introduction for those without prior knowledge of PLS and as a comprehensive reference for researchers and practitioners interested in the most recent advances in PLS methodology.

Springer


60 www.abe.pl

Handbook of SAS Data Step Programming

9781466552388 10.05.2013 Oprawa: twarda

£ 38,99

Arthur Li

To write an accomplished program in the DATA step of SAS®, programmers must understand programming logic and know how to implement and even create their own programming algorithm. Handbook of SAS® DATA Step Programming shows readers how best to manage and manipulate data by using the DATA step. The book helps novices avoid common mistakes resulting from a lack of understanding fundamental and unique SAS programming concepts. It explains that learning syntax does not solve all problems; rather, a thorough comprehension of SAS processing is needed for successful programming. The author also guides readers through a programming task. In most of the examples, the author first presents strategies and steps for solving the problem, then offers a solution, and finally gives a more detailed explanation of the solution. Understanding the DATA steps, particularly the program data vector (PDV), is critical to proper data manipulation and management in SAS. This book helps SAS programmers thoroughly grasp the concept of DATA step processing and write accurate programs in the DATA step.

Taylor & Francis

Image Statistics and Computer Graphics

9781568817255 06.11.2013 Oprawa: twarda

£ 44,99

Tania Pouli

The statistics of natural images have attracted the attention of researchers in a variety of fields as a means to better understand the human visual system and its processes. A number of algorithms in computer graphics and vision and image processing take advantage of such statistical findings to create visually more plausible results. This book explores the state of the art in image statistics and discusses existing and potential applications within computer graphics and related areas.

Taylor & Francis

Industrial Statistics with Minitab

9780470972755 14.09.2012 Oprawa: twarda

£ 55,00

Pere Grima Cintas

Industrial Statistics with MINITAB demonstrates the use of MINITAB as a tool for performing statistical analysis in an industrial context. This book covers introductory industrial statistics, exploring the most commonly used techniques alongside those that serve to give an overview of more complex issues. A plethora of examples in MINITAB are featured along with case studies for each of the statistical techniques presented. Industrial Statistics with MINITAB : Provides comprehensive coverage of user-friendly practical guidance to the essential statistical methods applied in industry. Explores statistical techniques and how they can be used effectively with the help of MINITAB 16. Contains extensive illustrative examples and case studies throughout and assumes no previous statistical knowledge. Emphasises data graphics and visualization, and the most used industrial statistical tools, such as Statistical Process Control and Design of Experiments. Is supported by an accompanying website featuring case studies and the corresponding datasets. Six Sigma Green Belts and Black Belts will find explanations and examples of the most relevant techniques in DMAIC projects.

Wiley

Introducing Monte Carlo Methods with R

9781441915757 07.12.2009 Oprawa: miękka

€ 54,95

Christian P. Robert (INSEE, Malakoff, France)

Computational techniques based on simulation have now become an essential part of the statistician's toolbox. It is thus crucial to provide statisticians with a practical understanding of those methods, and there is no better way to develop intuition and skills for simulation than to use simulation to solve statistical problems. Introducing Monte Carlo Methods with R covers the main tools used in statistical simulation from a programmer's point of view, explaining the R implementation of each simulation technique and providing the output for better understanding and comparison. While this book constitutes a comprehensive treatment of simulation methods, the theoretical justification of those methods has been considerably reduced, compared with Robert and Casella (2004). Similarly, the more exploratory and less stable solutions are not covered here. This book does not require a preliminary exposure to the R programming language or to Monte Carlo methods, nor an advanced mathematical background. While many examples are set within a Bayesian framework, advanced expertise in Bayesian statistics is not required.

Springer

Introduction to Digital Systems: Modeling, Synthesis, and Simulation

9780470900550 22.07.2011 Oprawa: twarda

£ 76,95

Mohammed Ferdjallah

A unique guide to using both modeling and simulation in digital systems design Digital systems design requires rigorous modeling and simulation analysis that eliminates design risks and potential harm to users. Introduction to Digital Systems: Modeling, Synthesis, and Simulation Using VHDL introduces the application of modeling and synthesis in the effective design of digital systems and explains applicable analytical and computational methods. Through step-by-step explanations and numerous examples, the author equips readers with the tools needed to model, synthesize, and simulate digital principles using Very High Speed Integrated Circuit Hardware Description Language (VHDL) programming. Extensively classroom-tested to ensure a fluid presentation, this book provides a comprehensive overview of the topic by integrating theoretical principles, discrete mathematical models, computer simulations, and basic methods of analysis.

Wiley

Large-Scale Inverse Problems and Quantification of Uncertainty

9780470697436 05.11.2010 Oprawa: twarda

£ 79,95

Lorenz T. Biegler

This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based approaches to solving inverse problems. The aim is to cross-fertilize the perspectives of researchers in the areas of data assimilation, statistics, large-scale optimization, applied and computational mathematics, high performance computing, and cutting-edge applications. The solution to large-scale inverse problems critically depends on methods to reduce computational cost. Recent research approaches tackle this challenge in a variety of different ways. Many of the computational frameworks highlighted in this book build upon state-of-the-art methods for simulation of the forward problem, such as, fast Partial Differential Equation (PDE) solvers, reduced-order models and emulators of the forward problem, stochastic spectral approximations, and ensemble-based approximations, as well as exploiting the machinery for large-scale deterministic optimization through adjoint and other

Wiley

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www.abe.pl 61

Making Sense of Data Set

9781118395141 30.03.2012 Oprawa: miękka

£ 153,00

Glenn J. Myatt

Wiley

Maximum Likelihood Estimation with Stata

9781597180788 15.11.2010 Oprawa: miękka

£ 49,99

William Gould

Maximum Likelihood Estimation with Stata, Fourth Edition is written for researchers in all disciplines who need to compute maximum likelihood estimators that are not available as prepackaged routines. Readers are presumed to be familiar with Stata, but no special programming skills are assumed except in the last few chapters, which detail how to add a new estimation command to Stata. The book begins with an introduction to the theory of maximum likelihood estimation with particular attention on the practical implications for applied work. Individual chapters then describe in detail each of the four types of likelihood evaluator programs and provide numerous examples, such as logit and probit regression, Weibull regression, random-effects linear regression, and the Cox proportional hazards model. Later chapters and appendixes provide additional details about the ml command, provide checklists to follow when writing evaluators, and show how to write your own estimation commands.

Taylor & Francis

Methods of Statistical Model Estimation

9781439858028 08.07.2013 Oprawa: twarda

£ 57,99

Joseph M. Hilbe

Methods of Statistical Model Estimation provides readers with an examination of the major methods used by researchers and programmers to estimate statistical model parameters and associated statistics. Designed for R programmers, the book is also suitable for anyone wanting to better understand the optimization algorithms used for model estimation. The text focuses on R programming code for the estimation of a variety of regression procedures using maximum likelihood estimation, iteratively reweighted least squares regression, the EM algorithm, and MCMC sampling. Fully developed code is constructed in the book for each of the discussed methods of estimation, including working code for OLS regression, a near complete generalized linear models function, one- and two-parameter maximum likelihood models for both pooled and panel models, a random effects model estimated using the EM algorithm, and a Bayesian Poisson model using Metropolis-Hastings sampling. The authors also discuss a number of ancillary issues.

Taylor & Francis

Modeling and Simulation Fundamentals: Theoretical

9780470486740 14.05.2010 Oprawa: twarda

£ 76,50

John A. Sokolowski

An insightful presentation of the key concepts, paradigms, and applications of modeling and simulation Modeling and simulation has become an integral part of research and development across many fields of study, having evolved from a tool to a discipline in less than two decades. Modeling and Simulation Fundamentals offers a comprehensive and authoritative treatment of the topic and includes definitions, paradigms, and applications to equip readers with the skills needed to work successfully as developers and users of modeling and simulation. Featuring contributions written by leading experts in the field, the book's fluid presentation builds from topic to topic and provides the foundation and theoretical underpinnings of modeling and simulation. First, an introduction to the topic is presented, including related terminology, examples of model development, and various domains of modeling and simulation.

Wiley

Modern Signal Processing

9780521158213 15.07.2010 Oprawa: miękka

£ 32,99

Daniel N. Rockmore

Signal processing is everywhere in modern technology. Its mathematical basis and many areas of application are the subject of this 2004 book, based on a series of graduate-level lectures held at the Mathematical Sciences Research Institute. Emphasis is on challenges in the subject, particular techniques adapted to particular technologies, and certain advances in algorithms and theory. The book covers two main areas: computational harmonic analysis, envisioned as a technology for efficiently analysing real data using inherent symmetries; and the challenges inherent in the acquisition, processing and analysis of images and sensing data in general [EMDASH] ranging from sonar on a submarine to a neuroscientist's fMRI study.


Multivariate Survival and Competing Risks

9781439875216 17.05.2012 Oprawa: twarda

£ 63,99

Martin J. Crowder

Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions, frailty models, parametric methods, multivariate data and distributions, copulas, continuous failure, parametric likelihood inference, and non- and semi-parametric methods. There are many books covering survival analysis, but very few that cover the multivariate case in any depth. Written for a graduate-level audience in statistics/biostatistics, this book includes practical exercises and R code for the examples. The author is renowned for his clear writing style, and this book continues that trend. It is an excellent reference for graduate students and researchers looking for grounding in this burgeoning field of research.

Taylor & Francis


62 www.abe.pl

Network and Adaptive Sampling Techniques

9781466577565 22.06.2013 Oprawa: twarda

£ 49,99

Arijit Chaudhuri

Combining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to effectively capture sparsely located elements in unknown pockets. It shows how network sampling is a reliable guide in capturing inaccessible entities through linked auxiliaries. The text also explores how adaptive sampling is strengthened in information content through subsidiary sampling with devices to mitigate unmanageable expanding sample sizes. Empirical data illustrates the applicability of both methods.

Taylor & Francis

Numerical Methods of Statistics

9780521139519 18.04.2011 Oprawa: miękka

£ 36,99

John F. Monahan

This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at the application of mathematical tools to statistical problems. The first half of the book offers a basic background in numerical analysis that emphasizes issues important to statisticians. The next several chapters cover a broad array of statistical tools, such as maximum likelihood and nonlinear regression. The author also treats the application of numerical tools; numerical integration and random number generation are explained in a unified manner reflecting complementary views of Monte Carlo methods. Each chapter contains exercises that range from simple questions to research problems. Most of the examples are accompanied by demonstration and source code available from the author's website. New in this second edition are demonstrations coded in R, as well as new sections on linear programming and the Nelder-Mead search algorithm.


Practical Statistical Methods: A SAS Programming Approach

9781439812822 25.04.2011 Oprawa: twarda

£ 52,99

Lakshmi Padgett

Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting mathematical details and complicated formulae, the text provides SAS programs to carry out the necessary analyses and draw appropriate inferences for common statistical problems. After introducing fundamental statistical concepts, the author describes methods used for quantitative data and continuous data following normal and nonnormal distributions. She then focuses on regression methodology, highlighting simple linear regression, logistic regression, and the proportional hazards model. The final chapter briefly discusses such miscellaneous topics as propensity scores, misclassification errors, interim analysis, conditional power, bootstrap, and jackknife. With SAS code and output integrated throughout, this book shows how to interpret data using SAS and illustrates the many statistical methods available for tackling problems in a range of fields, including the pharmaceutical industry and the social sciences.

Taylor & Francis

Probability and Statistics for Computer Scientists

9781439875902 15.08.2013 Oprawa: twarda

£ 63,99

Michael Baron

Presenting probability and statistical methods, simulation techniques, and modeling tools, this book helps students solve problems and make optimal decisions in uncertain conditions, select stochastic models, compute probabilities and forecasts, and evaluate performance of computer systems and networks. It covers how to read a word problem or a corporate report, realize the uncertainty involved in the described situation, select a suitable probability model, estimate and test its parameters based on real data, compute probabilities, and make appropriate conclusions. This edition features over 100 pages of new material covering categorical data analysis, nonparametric tests, and regression diagnostics.

Taylor & Francis

Quasi-Least Squares Regression

9781420099935 06.12.2013 Oprawa: twarda

£ 57,99

Justine Shults

Drawing on the authors’ substantial expertise in modeling longitudinal and clustered data, this book presents a comprehensive treatment of quasi-least squares (QLS) regression—a computational approach for the estimation of correlation parameters within the framework of generalized estimating equations (GEEs). The authors present an overview and detailed evaluation of QLS methodology, demonstrating the advantages of QLS in comparison with alternative methods. They describe how QLS can be used to extend the application of the traditional GEE approach to the analysis of unequally spaced longitudinal data, familial data, and data with multiple sources of correlation. In some settings, QLS also allows for improved analysis with an unstructured correlation matrix. Special focus is given to goodness-of-fit analysis as well as new strategies for selecting the appropriate working correlation structure for QLS and GEE.

Taylor & Francis

R for SAS and SPSS Users

9781461406846 23.07.2011 Oprawa: twarda

€ 89,95

Robert A. Muenchen

R is a powerful and free software system for data analysis and graphics, with over 1,200 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions. It steps through over 30 programs written in all three packages, comparing and contrasting the packages' differing approaches. The programs and practice datasets are available for download. The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon. The table of contents and the index allow you to find equivalent R functions by looking up both SAS statements and SPSS commands. When finished, you will be able to import data, manage and transform it, create publication quality graphics, and perform basic statistical analyses. This new edition has updated programming, an expanded index, and even more statistical methods covered in over 25 new sections.

Springer

Statystyka komputerowa

www.abe.pl 63

R for Statistics

9781439881453 17.04.2012 Oprawa: miękka

£ 34,99

Pierre-Andre Cornillon

Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking world. Translated and updated, R for Statistics includes a number of expanded and additional worked examples. Organized into two sections, the book focuses first on the R software, then on the implementation of traditional statistical methods with R. Focusing on the R software, the first section covers: Basic elements of the R software and data processing Clear, concise visualization of results, using simple and complex graphs Programming basics: pre-defined and user-created functions The second section of the book presents R methods for a wide range of traditional statistical data processing techniques, including: Regression methods Analyses of variance and covariance Classification methods Exploratory multivariate analysis Clustering methods Hypothesis tests After a short presentation of the method, the book explicitly details the R command lines and gives commented results.

Taylor & Francis

R Graphics

9781439831762 07.06.2011 Oprawa: twarda

£ 52,99

Paul Murrell

Extensively updated to reflect the evolution of statistics and computing, the second edition of the bestselling R Graphics comes complete with new packages and new examples. Paul Murrell, widely known as the leading expert on R graphics, has developed an in-depth resource that helps both neophyte and seasoned users master the intricacies of R graphics. New in the Second Edition Updated information on the core graphics engine, the traditional graphics system, the grid graphics system, and the lattice package A new chapter on the ggplot2 package New chapters on applications and extensions of R Graphics, including geographic maps, dynamic and interactive graphics, and node-and-edge graphs Organized into five parts, R Graphics covers both "traditional" and newer, R-specific graphics systems. The book reviews the graphics facilities of the R language and describes R's powerful grid graphics system. It then covers the graphics engine, which represents a common set of fundamental graphics facilities, and provides a series of brief overviews of the major areas of application for R graphics and the major extensions of R graphics.

Taylor & Francis

Solving Differential Equations in R

9783642280696 07.06.2012 Oprawa: miękka

€ 49,95

Karline Soetaert

Mathematics plays an important role in many scientific and engineering disciplines. This book deals with the numerical solution of differential equations, a very important branch of mathematics. Our aim is to give a practical and theoretical account of how to solve a large variety of differential equations, comprising ordinary differential equations, initial value problems and boundary value problems, differential algebraic equations, partial differential equations and delay differential equations. The solution of differential equations using R is the main focus of this book. It is therefore intended for the practitioner, the student and the scientist, who wants to know how to use R for solving differential equations. However, it has been our goal that non-mathematicians should at least understand the basics of the methods, while obtaining entrance into the relevant literature that provides more mathematical background. Therefore, each chapter that deals with R examples is preceded by a chapter where the theory behind the numerical methods being used is introduced.

Springer

Spatial Analysis Along Networks

9780470770818 27.07.2012 Oprawa: twarda

£ 65,00

Atsuyuki Okabe

In the real world, there are numerous and various events that occur on and alongside networks, including the occurrence of traffic accidents on highways, the location of stores alongside roads, the incidence of crime on streets and the contamination along rivers. In order to carry out analyses of those events, the researcher needs to be familiar with a range of specific techniques. Spatial Analysis Along Networks provides a practical guide to the necessary statistical techniques and their computational implementation. Each chapter illustrates a specific technique, from Stochastic Point Processes on a Network and Network Voronoi Diagrams, to Network K-function and Point Density Estimation Methods, and the Network Huff Model. The authors also discuss and illustrate the undertaking of the statistical tests described in a Geographical Information System (GIS) environment as well as demonstrating the user-friendly free software package SANET.

Wiley

Statistical Data Mining Using SAS Applications

9781439810750 29.06.2010 Oprawa: twarda

£ 62,99

George Fernandez

Statistical Data Mining Using SAS Applications, Second Edition describes statistical data mining concepts and demonstrates the features of user-friendly data mining SAS tools. Integrating the statistical and graphical analysis tools available in SAS systems, the book provides complete statistical data mining solutions without writing SAS program codes or using the point-and-click approach. Each chapter emphasizes step-by-step instructions for using SAS macros and interpreting the results. Compiled data mining SAS macro files are available for download on the author's website. By following the step-by-step instructions and downloading the SAS macros, analysts can perform complete data mining analysis fast and effectively. New to the Second Edition-General Features Access to SAS macros directly from desktop Compatible with SAS version 9, SAS Enterprise Guide, and SAS Learning Edition Reorganization of all help files to an appendix Ability to create publication quality graphics Macro-call error check New Features in These SAS-Specific Macro Applications Converting PC data files to SAS data (EXLSAS2 macro) Randomly splitting data (RANSPLIT2) Frequency analysis (FREQ2) Univariate

Taylor & Francis

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Statistical Inference

9781420093438 01.06.2010 Oprawa: twarda

£ 62,99

Murray Aitkin

This book sets out an integrated approach to statistical inference using the likelihood function as the primary measure of evidence for statistical model parameters, and for the statistical models themselves. The author provides both an alternative to standard Bayesian inference and the foundation for a course sequence in modern Bayesian theory at the graduate or advanced undergraduate level. The restriction of the book to evidence is deliberate: there are already many books on Bayesian and non-Bayesian decision theory, and the purpose of this one is less ambitious, but perhaps more relevant scientifically, in providing a detailed prescription for the assessment of statistical evidence.

Taylor & Francis

Statystyka komputerowa

64 www.abe.pl

Statistical Inference: The Minimum Distance Approach

9781420099652 16.06.2011 Oprawa: twarda

£ 59,99

Ayanendranath Basu

This book gives a comprehensive account of density-based minimum distance methods and their use in statistical inference. It covers statistical distances, density-based minimum distance methods, discrete and continuous models, asymptotic distributions, robustness, computational issues, residual adjustment functions, graphical descriptions of robustness, penalized and combined distances, multisample methods, weighted likelihood, and multinomial goodness-of-it tests. The book also introduces the minimum distance methodology in interdisciplinary areas, such as neural networks and image processing, as well as specialized models and problems, including regression, mixture models, survival and Bayesian analysis, and more.

Taylor & Francis

Statistical Learning and Data Science

9781439867631 18.01.2012 Oprawa: twarda

£ 59,99

Mireille Gettler Summa

Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods continually being updated, have reached new heights of achievement in the incredibly rich data world that we inhabit. Statistical Learning and Data Science is a work of reference in the rapidly evolving context of converging methodologies. It gathers contributions from some of the foundational thinkers in the different fields of data analysis to the major theoretical results in the domain. On the methodological front, the volume includes conformal prediction and frameworks for assessing confidence in outputs, together with attendant risk. It illustrates a wide range of applications, including semantics, credit risk, energy production, genomics, and ecology. The book also addresses issues of origin and evolutions in the unsupervised data analysis arena, and presents some approaches for time series, symbolic data, and functional data.

Taylor & Francis

The R Book

9780470973929 07.12.2012 Oprawa: twarda

£ 60,00

Michael J. Crawley

Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research. This edition: Features full colour text and extensive graphics throughout. Introduces a clear structure with numbered section headings to help readers locate information more efficiently. Looks at the evolution of R over the past five years. Features a new chapter on Bayesian Analysis and Meta-Analysis. Presents a fully revised and updated bibliography and reference section. Is supported by an accompanying website allowing examples from the text to be run by the user. Praise for the first edition: '...if you are an R user or wannabe R user, this text is the one that should be on your shelf.

Wiley

The R Primer

9781439862063 25.08.2011 Oprawa: miękka

£ 26,99

Claus Thorn Ekstrom

Newcomers to R are often intimidated by the command-line interface, the vast number of functions and packages, or the processes of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems frequently encountered by new users of this statistical software. Rather than explore the many options available for every command as well as the ever-increasing number of packages, the book focuses on the basics of data preparation and analysis and gives examples that can be used as a starting point. The numerous examples illustrate a specific situation, topic, or problem, including data importing, data management, classical statistical analyses, and high-quality graphics production. Each example is self-contained and includes R code that can be run exactly as shown, enabling results from the book to be replicated. While base R is used throughout, other functions or packages are listed if they cover or extend the functionality. After working through the examples found in this text, new users of R will be able to better handle data analysis and graphics applications in R.

Taylor & Francis

The R Student Companion

9781439875407 10.10.2012 Oprawa: miękka

£ 25,99

Brian Dennis

R is the amazing, free, open-access software package for scientific graphs and calculations used by scientists worldwide. The R Student Companion is a student-oriented manual describing how to use R in high school and college science and mathematics courses. Written for beginners in scientific computation, the book assumes the reader has just some high school algebra and has no computer programming background. The author presents applications drawn from all sciences and social sciences and includes the most often used features of R in an appendix. In addition, each chapter provides a set of computational challenges: exercises in R calculations that are designed to be performed alone or in groups. Several of the chapters explore algebra concepts that are highly useful in scientific applications, such as quadratic equations, systems of linear equations, trigonometric functions, and exponential functions. Each chapter provides an instructional review of the algebra concept, followed by a hands-on guide to performing calculations and graphing in R. R is intuitive, even fun. Fantastic, publication-quality graphs of data, equations, or both can be produced with little effort.

Taylor & Francis

Transforms and Applications Primer for Engineers with Examples and MATLAB

9781420089318 09.03.2010 Oprawa: twarda

£ 48,99

Alexander D. Poularikas

Transforms and Applications Primer for Engineers with Examples and MATLAB[registered] is required reading for engineering and science students, professionals, and anyone working on problems involving transforms. This invaluable primer contains the most essential integral transforms that both practicing engineers and students need to understand. It provides a large number of examples to explain the use of transforms in different areas, including circuit analysis, differential equations, signals and systems, and mechanical vibrations. It includes an appendix with suggestions and explanations to help you optimize your use of MATLAB Laplace and Fourier transforms are by far the most widely used and most useful of all integral transforms, so they are given a more extensive treatment in this book, compared to other texts that include them. Offering numerous MATLAB functions created by the author, this comprehensive book contains several appendices to complement the main subjects. Perhaps the most important feature is the extensive tables of transforms, which are provided to supplement the learning process.

Taylor & Francis


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Tree-Based Graph Partitioning Constraint

9781848213036 12.07.2011 Oprawa: twarda

£ 63,50

Xavier Lorca

Combinatorial problems based on graph partitioning enable us to mathematically represent and model many practical applications. Mission planning and the routing problems occurring in logistics perfectly illustrate two such examples. Nevertheless, these problems are not based on the same partitioning pattern: generally, patterns like cycles, paths, or trees are distinguished. Moreover, the practical applications are often not limited to theoretical problems like the Hamiltonian path problem, or K-node disjoint path problems. Indeed, they usually combine the graph partitioning problem with several restrictions related to the topology of nodes and arcs. The diversity of implied constraints in real-life applications is a practical limit to the resolution of such problems by approaches considering the partitioning problem independently from each additional restriction. This book focuses on constraint satisfaction problems related to tree partitioning problems enriched by several additional constraints that restrict the possible partitions topology. On the one hand, this title focuses on the structural properties of tree partitioning constraints.

Wiley

Understanding Biplots: Methods and Applications of Biplots

9780470012550 24.12.2010 Oprawa: twarda

£ 68,95

John C. Gower

Biplots are a graphical method for simultaneously displaying two kinds of information; typically, the variables and sample units described by a multivariate data matrix or the items labelling the rows and columns of a two-way table. This book aims to popularize what is now seen to be a useful and reliable method for the visualization of multidimensional data associated with, for example, principal component analysis, canonical variate analysis, multidimensional scaling, multiplicative interaction and various types of correspondence analysis. Understanding Biplots:

Introduces theory and techniques which can be applied to problems from a variety of areas, including ecology, biostatistics, finance, demography and other social sciences.

Provides novel techniques for the visualization of multidimensional data and includes data mining techniques.

Uses applications from many fields including finance, biostatistics, ecology, demography.

Wiley

Understanding Computational Bayesian Statistics

9780470046098 11.01.2010 Oprawa: twarda

£ 79,50

William M. Bolstad

A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely covering the topics from a Bayesian perspective, Understanding Computational Bayesian Statistics successfully guides readers through this new, cutting-edge approach. With its hands-on treatment of the topic, the book shows how samples can be drawn from the posterior distribution when the formula giving its shape is all that is known, and how Bayesian inferences can be based on these samples from the posterior. These ideas are illustrated on common statistical models, including the multiple linear regression model, the hierarchical mean model, the logistic regression model, and the proportional hazards model. The book begins with an outline of the similarities and differences between Bayesian and the likelihood approaches to statistics. Subsequent chapters present key techniques for using computer software to draw Monte Carlo samples from the incompletely known posterior distribution and performing the Bayesian inference calculated from these samples.

Wiley

Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics

9781452217703 02.04.2012 Oprawa: miękka

£ 18,99

Warner

Ideal either as a companion to a traditional statistics or research methods text or as a stand-alone guide, Using SPSS for Research Methods and Social Statistics is a useful reference for those learning to use the SPSS software for the first time or those with only basic knowledge about SPSS. This student-friendly resource shows readers how to use images and directions drawn from SPSS Version 20 and now uses the latest version of the General Social Survey (GSS, 2010) as a secondary data set.

SAGE

Visual Data Mining: The VisMiner Approach

9781119967545 16.11.2012 Oprawa: twarda

£ 45,00

Russell K. Anderson

This book introduces a visual methodology for data mining demonstrating the application of methodology along with a sequence of exercises using VisMiner. VisMiner has been developed by the author and provides a powerful visual data mining tool enabling readers to visually evaluate models created from the data. This book is designed as a hands-on work book to introduce the methodologies to students in data mining, advanced statistics, and business intelligence courses. It provides a set of tutorials, exercises, and case studies that support readers in learning data mining processes.

Wiley

STATYSTYKA

OGÓLNA


Statystyka ogólna

www.abe.pl 67

A Career in Statistics: Beyond the Numbers

9780470404416 22.07.2011 Oprawa: miękka

£ 46,95

Gerald J. Hahn

A valuable guide to a successful career as a statistician A Career in Statistics: Beyond the Numbers prepares readers for careers in statistics by emphasizing essential concepts and practices beyond the technical tools provided in standard courses and texts. This insider's guide from internationally recognized applied statisticians helps readers decide whether a career in statistics is right for them, provides hands-on guidance on how to prepare for such a career, and shows how to succeed on the job. The book provides non-technical guidance for a successful career. The authors' extensive industrial experience is supplemented by insights from contributing authors from government and academia, Carol Joyce Blumberg, Leonard M. Gaines, Lynne B. Hare, William Q. Meeker, and Josef Schmee. Following an introductory chapter that provides an overview of the field, the authors discuss the various dimensions of a career in applied statistics in three succinct parts: The Work of a Statistician describes the day-to-day activities of applied statisticians in business and industry, official government, and various other application areas, highlighting the work environment and major on-the-job

Wiley

...

A Course in Probability

9780321189547 01.08.2003 Oprawa: miękka

£ 50,99

Neil A. Weiss

This text is intended primarily for a first course in mathematical probability for students in mathematics, statistics, operations research, engineering, and computer science. It is also appropriate for mathematically oriented students in the physical and social sciences. Prerequisite material consists of basic set theory and a firm foundation in elementary calculus, including infinite series, partial differentiation, and multiple integration. Some exposure to rudimentary linear algebra (e.g., matrices and determinants) is also desirable. This text includes pedagogical techniques not often found in books at this level, in order to make the learning process smooth, efficient, and enjoyable.

Pearson Education

A First Course in Bayesian Statistical Methods

9780387922997 15.06.2009 Oprawa: twarda

€ 59,95

Peter D. Hoff

A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.

Springer

A First Course in Probability

9780321866813 02.01.2013 Oprawa: miękka

£ 52,99

Sheldon M. Ross

A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.

Pearson Education

A Whistle-Stop Tour of Statistics

9781439877487 16.01.2012 Oprawa: miękka

£ 26,99

Brian S. Everitt

A Whistle-Stop Tour of Statistics introduces basic probability and statistics through bite-size coverage of key topics. A review aid and study guide for undergraduate students, it presents descriptions of key concepts from probability and statistics in self-contained sections. Features Presents an accessible reference to the key concepts in probability and statistics Introduces each concept through bite-size descriptions and presents interesting real-world examples Includes lots of diagrams and graphs to clarify and illustrate topics Provides a concise summary of ten major areas of statistics including survival analysis and the analysis of longitudinal data Written by Brian S, Everitt, the author of over 60 statistical texts, the book shows how statistics can be applied in the real world, with interesting examples and plenty of diagrams and graphs to illustrate concepts.

Taylor & Francis

Adaptive Tests of Significance Using Permutations of Residuals with R and SAS

9780470922255 30.03.2012 Oprawa: twarda

£ 83,50

Thomas W. O'Gorman

Adaptive Tests of Significance Using Permutations of Residuals with R and SAS illustrates the power of adaptive tests and showcases their ability to adjust the testing method to suit a particular set of data. The book utilizes state-of-the-art software to demonstrate the practicality and benefits for data analysis in various fields of study. Beginning with an introduction, the book moves on to explore the underlying concepts of adaptive tests, including:

Smoothing methods and normalizing transformations

Permutation tests with linear methods

Applications of adaptive tests

Multicenter and cross-over trials

Analysis of repeated measures data

Adaptive confidence intervals and estimates

Wiley

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68 www.abe.pl

Advances in Statistical Monitoring of Complex Multivariate Processes

9780470028193 14.09.2012 Oprawa: twarda

£ 55,00

Uwe Kruger

The development and application of multivariate statistical techniques in process monitoring has gained substantial interest over the past two decades in academia and industry alike. Initially developed for monitoring and fault diagnosis in complex systems, such techniques have been refined and applied in various engineering areas, for example mechanical and manufacturing, chemical, electrical and electronic, and power engineering. The recipe for the tremendous interest in multivariate statistical techniques lies in its simplicity and adaptability for developing monitoring applications. In contrast, competitive model, signal or knowledge based techniques showed their potential only whenever cost-benefit economics have justified the required effort in developing applications. Statistical Monitoring of Complex Multivariate Processes presents recent advances in statistics based process monitoring, explaining how these processes can now be used in areas such as mechanical and manufacturing engineering for example, in addition to the traditional chemical industry. This book: Contains a detailed theoretical background of the component technology.

Wiley

An Introduction to Applied Multivariate Analysis with R

9781441996497 28.04.2011 Oprawa: miękka

€ 49,95

Brian S. Everitt

The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos.

Springer

An Introduction to Bootstrap Methods with Applications to R

9780470467046 02.12.2011 Oprawa: twarda

£ 66,95

Michael R. Chernick

A comprehensive introduction to bootstrap methods in the R programming environment Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the practicality of this approach and successfully utilizes R to illustrate applications for the bootstrap and other resampling methods. This book provides a modern introduction to bootstrap methods for readers who do not have an extensive background in advanced mathematics. Emphasis throughout is on the use of bootstrap methods as an exploratory tool, including its value in variable selection and other modeling environments. The authors begin with a description of bootstrap methods and its relationship to other resampling methods, along with an overview of the wide variety of applications of the approach. Subsequent chapters offer coverage of improved confidence set estimation, estimation of error rates in discriminant analysis, and applications to a wide variety of hypothesis testing and estimation problems, including pharmaceutical, genomics, and economics.

Wiley

An Introduction to Statistics: An Active Learning Approach

9781452217437 02.03.2013 Oprawa: miękka

£ 39,99

Kieth A. Carlson

In An Introduction to Statistics Kieth Carlson and Jennifer Winquist encourage an active approach to learning statistics. While the chapters in this book introduce basic and key concepts, this book is unique in the depth of its active pedagogical approach. Carefully placed reading questions throughout each chapter reinforce difficult concepts and guide student learning: 29 in-depth activities, each accompanied by learning objectives, carefully developed scenarios, problem sets, and quiz questions give students the opportunity to test or demonstrate their understanding of basic concepts while they read detailed explanations of more complex statistical concepts; and 15 sets of practice problems further solidify student learning. When using most traditional text books, students only perform statistical procedures after they read multiple pages of text. This book adopts a workbook approach that forces students to be actively engaged while they read explanations. Most of the activities are self-correcting so if students misunderstand a concept their misunderstanding is corrected early in the learning process.

SAGE

Analysis of International Large-Scale Assessment Data

9781439895122 15.10.2013 Oprawa: twarda

£ 49,99

Leslie Rutkowski

International large-scale assessments (ILSAs) of educational achievement such as the Trends in International Mathematics and Science Study and the Programme for International Student Assessment are an increasingly important part of the educational research and policy landscape in the U.S. and internationally. This book will bring together recognized scholars in the field of ILSA, behavioral statistics, and policy to develop a detailed guide for ILSA users that goes beyond ILSA user manuals.

Taylor & Francis

ANOVA and ANCOVA: A GLM Approach

9780470385555 28.10.2011 Oprawa: twarda

£ 73,50

Andrew Rutherford

Provides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspective ANOVA and ANCOVA: A GLM Approach provides a contemporary look at the general linear model (GLM) approach to the analysis of variance (ANOVA) of one- and two-factor psychological experiments. With its organized and comprehensive presentation, the book successfully guides readers through conventional statistical concepts and how to interpret them in GLM terms, treating the main single- and multi-factor designs as they relate to ANOVA and ANCOVA. The book begins with a brief history of the separate development of ANOVA and regression analyses, and then goes on to demonstrate how both analyses are incorporated into the understanding of GLMs. This new edition now explains specific and multiple comparisons of experimental conditions before and after the Omnibus ANOVA, and describes the estimation of effect sizes and power analyses leading to the determination of appropriate sample sizes for experiments to be conducted.

Wiley

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Applied Categorical and Count Data Analysis

9781439806241 04.07.2012 Oprawa: twarda

£ 57,99

Wan Tang

Developed from the authors' graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors describe the basic ideas underlying each concept, model, and approach to give readers a good grasp of the fundamentals of the methodology without using rigorous mathematical arguments. The text covers classic concepts and popular topics, such as contingency tables, logistic models, and Poisson regression models, along with modern areas that include models for zero-modified count outcomes, parametric and semiparametric longitudinal data analysis, reliability analysis, and methods for dealing with missing values. R, SAS, SPSS, and Stata programming codes are provided for all the examples, enabling readers to immediately experiment with the data in the examples and even adapt or extend the codes to fit data from their own studies. Designed for a one-semester course for graduate and senior undergraduate students in biostatistics, this self-contained text is also suitable as a self-learning guide for biomedical and psychosocial researchers.

Taylor & Francis

Applied Multivariate Statistical Analysis

9780135143506 30.04.2007 Oprawa: miękka

£ 68,99

Richard A. Johnson

For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Ideal for a junior/senior or graduate level course that explores the statistical methods for describing and analyzing multivariate data, the text assumes two or more statistics courses as a prerequisite.

Pearson Education

Applied Multivariate Statistical Analysis

9783642172281 01.12.2011 Oprawa: miękka

€ 79,95

Wolfgang Karl Hardle

Most of the observable phenomena in the empirical sciences are of a multivariate nature. In financial studies, assets are observed simultaneously and their joint development is analysed to better understand general risk and to track indices. In medicine recorded observations of subjects in different locations are the basis of reliable diagnoses and medication. In quantitative marketing consumer preferences are collected in order to construct models of consumer behavior. The underlying data structure of these and many other quantitative studies of applied sciences is multivariate. Focusing on applications this book presents the tools and concepts of multivariate data analysis in a way that is understandable for non-mathematicians and practitioners who need to analyze statistical data. The book surveys the basic principles of multivariate statistical data analysis and emphasizes both exploratory and inferential statistics. All chapters have exercises that highlight applications in different fields.

Springer

Applied Regression Modeling

9781118097281 17.08.2012 Oprawa: twarda

£ 73,50

Iain Pardoe

This book offers a practical, concise introduction to regression analysis for upper-level undergraduate students of diverse disciplines including, but not limited to statistics, the social and behavioral sciences, MBA, and vocational studies. The book's overall approach is strongly based on an abundant use of illustrations, examples, case studies, and graphics. It emphasizes major statistical software packages, including SPSS(r), Minitab(r), SAS(r), R, and R/S-PLUS(r). Detailed instructions for use of these packages, as well as for Microsoft Office Excel(r), are provided on a specially prepared and maintained author web site. Select software output appears throughout the text. To help readers understand, analyze, and interpret data and make informed decisions in uncertain settings, many of the examples and problems use real-life situations and settings. The book introduces modeling extensions that illustrate more advanced regression techniques, including logistic regression, Poisson regression, discrete choice models, multilevel models, Bayesian modeling, and time series and forecasting.

Wiley

Applied Time Series Analysis

9781439818374 24.10.2011 Oprawa: twarda

£ 60,99

Wayne A. Woodward

Virtually any random process developing chronologically can be viewed as a time series. In economics, closing prices of stocks, the cost of money, the jobless rate, and retail sales are just a few examples of many. Developed from course notes and extensively classroom-tested, Applied Time Series Analysis includes examples across a variety of fields, develops theory, and provides software to address time series problems in a broad spectrum of fields. The authors organize the information in such a format that graduate students in applied science, statistics, and economics can satisfactorily navigate their way through the book while maintaining mathematical rigor. One of the unique features of Applied Time Series Analysis is the associated software, GW-WINKS, designed to help students easily generate realizations from models and explore the associated model and data characteristics. The text explores many important new methodologies that have developed in time series, such as ARCH and GARCH processes, time varying frequencies (TVF), wavelets, and more.

Taylor & Francis

Arthur L. Bowley: A Pioneer in Modern Statistics and Economics

9789812835505 16.04.2011 Oprawa: twarda

£ 72,00

Samuel Kotz

Arthur Lyon Bowley, the founding father of modern statistics, was an important and colorful figure and a leader in cementing the foundations of statistical methodology, including survey methodology, and of the applications of statistics to economical and social issues during the late 19th and early 20th centuries. In many respects, he was ahead of his time.The giants in this field around that time were largely concentrated in the British Isles and Scandinavian countries; among these contributors, Arthur Bowley was one of the most active in revolutionizing statistical methodology and its economic applications. However, Bowley has been vastly undervalued by subsequent commentators - while hundreds of articles and books have been written on Karl Pearson, those on Arthur Bowley amount to a dozen or less. This book seeks to remedy this and fill in an important omission in the monographical literature on the history of statistics. In particular, the recent resurgence of interest in poverty research has led to a renewed interest in Bowley's legacy.


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Assessment Methods in Statistical Education

9780470745328 25.03.2010 Oprawa: miękka

£ 57,50

Neville Hunt

Assessment Methods in Statistical Education: An International Perspective provides a modern, international perspective on assessing students of statistics in higher education. It is a collection of contributions written by some of the leading figures in statistical education from around the world, drawing on their personal teaching experience and educational research. The book reflects the wide variety of disciplines, such as business, psychology and the health sciences, which include statistics teaching and assessment. The authors acknowledge the increasingly important role of technology in assessment, whether it be using the internet for accessing information and data sources or using software to construct and manage individualised or online assessments. Key Features: Presents successful assessment strategies, striking a balance between formative and summative assessment, individual and group work, take-away assignments and supervised tests. Assesses statistical thinking by questioning students' ability to interpret and communicate the results of their analysis. Relates assessment to the real world by basing it on real data in an appropriate context.

Wiley

Basic and Advanced Bayesian Structural Equation Modeling

9780470669525 24.08.2012 Oprawa: twarda

£ 65,00

Sik-Yum Lee

Basic and Advanced Structural Equation Models for Medical and Behavioural Sciences introduces the Bayesian approach to SEMs, including the selection of prior distributions and data augmentation, and offers an overview of the subject's recent advances. This book takes a Bayesian approach to SEMs allowing the use of prior information resulting in improved parameter estimates, latent variable estimates, and statistics for model comparison, as well as offering more reliable results for smaller samples.

Wiley

Basic Statistical Tools for Improving Quality

9780470889497 20.05.2011 Oprawa: miękka

£ 36,95

Chang W. Kang

This book is an introductory book on improving the quality of a process or a system, primarily through the technique of statistical process control (SPC). There are numerous technical manuals available for SPC, but this book differs in two ways: (1) the basic tools of SPC are introduced in a no-nonsense, simple, non-math manner, and (2) the methods can be learned and practiced in an uncomplicated fashion using free software (eZ SPC 2.0), which is available to all readers online as a downloadable product. The book explains QC7 Tools, control charts, and statistical analysis including basic design of experiments. Theoretical explanations of the analytical methods are avoided; instead, results are interpreted through the use of the software.

Wiley

Bayesian Analysis of Stochastic Process Models

9780470744536 30.03.2012 Oprawa: twarda

£ 60,00

Fabrizio Ruggeri

Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational, inference, forecasting, decision making and important applied models. Key features: Explores Bayesian analysis of models based on stochastic processes, providing a unified treatment. Provides a thorough introduction for research students. Computational tools to deal with complex problems are illustrated along with real life case studies Looks at inference, prediction and decision making. Researchers, graduate and advanced undergraduate students interested in stochastic processes in fields such as statistics, operations research (OR), engineering, finance, economics, computer science and Bayesian analysis will benefit from reading this book. With numerous applications included, practitioners of OR, stochastic modelling and applied statistics will also find this book useful.

Wiley

Bayesian Ideas and Data Analysis

9781439803547 06.07.2010 Oprawa: twarda

£ 48,99

Ronald Christensen

Emphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions, and the need for scientists and statisticians to collaborate in analyzing data. The WinBUGS code provided offers a convenient platform to model and analyze a wide range of data. The first five chapters of the book contain core material that spans basic Bayesian ideas, calculations, and inference, including modeling one and two sample data from traditional sampling models. The text then covers Monte Carlo methods, such as Markov chain Monte Carlo (MCMC) simulation. After discussing linear structures in regression, it presents binomial regression, normal regression, analysis of variance, and Poisson regression, before extending these methods to handle correlated data. The authors also examine survival analysis and binary diagnostic testing. A complementary chapter on diagnostic testing for continuous outcomes is available on the book's website.

Taylor & Francis

Bayesian Methods: A Social and Behavioral Sciences Approach

9781439862483 15.06.2013 Oprawa: twarda

£ 48,99

Jeff Gill

This updated, bestselling book continues to be one of the only Bayesian statistics texts designed for social scientists. Incorporating new research and additional material, the third edition presents state-of-the-art guidance on Bayesian statistical computing. It emphasizes Markov chain Monte Carlo (MCMC) and computation with R and WinBUGS. Along with doubling the number of exercises, this edition covers time series, decision theory, nonparametric models, and mixture models. A solutions manual is available with qualifying course adoption.

Taylor & Francis

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Bayesian Model Selection and Statistical Modeling

9781439836149 03.06.2010 Oprawa: twarda

£ 62,99

Tomohiro Ando

Bayesian model selection is a fundamental part of the Bayesian statistical modeling process. The quality of these solutions usually depends on the goodness of the constructed Bayesian model. Realizing how crucial this issue is, many researchers and practitioners have been extensively investigating the Bayesian model selection problem. This book provides comprehensive explanations of the concepts and derivations of the Bayesian approach for model selection and related criteria, including the Bayes factor, the Bayesian information criterion (BIC), the generalized BIC, and the pseudo marginal likelihood. It also includes a wide range of practical examples of model selection criteria.

Taylor & Francis

Bayesian Nonparametrics

9780521513463 12.04.2010 Oprawa: twarda

£ 42,00

Nils Lid Hjort

Bayesian nonparametrics works - theoretically, computationally. The theory provides highly flexible models whose complexity grows appropriately with the amount of data. Computational issues, though challenging, are no longer intractable. All that is needed is an entry point: this intelligent book is the perfect guide to what can seem a forbidding landscape. Tutorial chapters by Ghosal, Lijoi and Prunster, Teh and Jordan, and Dunson advance from theory, to basic models and hierarchical modeling, to applications and implementation, particularly in computer science and biostatistics. These are complemented by companion chapters by the editors and Griffin and Quintana, providing additional models, examining computational issues, identifying future growth areas, and giving links to related topics. This coherent text gives ready access both to underlying principles and to state-of-the-art practice. Specific examples are drawn from information retrieval, NLP, machine vision, computational biology, biostatistics, and bioinformatics.


Bayesian Statistics: An Introduction

9781118332573 03.08.2012 Oprawa: miękka

£ 35,00

Peter M. Lee

Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee's book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based techniques. This new fourth edition looks at recent techniques such as variational methods, Bayesian importance sampling, approximate Bayesian computation and Reversible Jump Markov Chain Monte Carlo (RJMCMC), providing a concise account of the way in which the Bayesian approach to statistics develops as well as how it contrasts with the conventional approach. The theory is built up step by step, and important notions such as sufficiency are brought out of a discussion of the salient features of specific examples. This edition: Includes expanded coverage of Gibbs sampling, including more numerical examples and treatments of OpenBUGS, R2WinBUGS and R2OpenBUGS.

Wiley

Case Studies in Bayesian Statistical Modelling and Analysis

9781119941828 16.11.2012 Oprawa: twarda

£ 65,00

Clair L. Alston

Case Studies in Bayesian Statistical Modelling and Analysis provides an accessible foundation into Bayesian modelling and analysis using real-world models. Each chapter comprises of a description of the problem, the corresponding model, the computational method, results, and inferences as well as the issues that arise in the implementation of these approaches. Coverage focuses on a real-world problems drawn from the editors' own experiences while illustrating the way in which the problem can be analyzed using Bayesian methods.

Wiley

Categorical Data Analysis with SAS and SPSS Applications

9780415646413 03.05.2013 Oprawa: miękka

£ 28,00

Bayo Lawal

This book covers the fundamental aspects of categorical data analysis with an emphasis on how to implement the models used in the book using SAS and SPSS. This is accomplished through the frequent use of examples, with relevant codes and instructions, that are closely related to the problems in the text. Concepts are explained in detail so that students can reproduce similar results on their own. Beginning with chapter two, exercises at the end of each chapter further strengthen students' understanding of the concepts by requiring them to apply some of the ideas expressed in the text in a more advanced capacity. Most of these exercises require intensive use of PC-based statistical software. Numerous tables with results of analyses, including interpretations of the results, further strengthen students' understanding of the material. Categorical Data Analysis With SAS(R) and SPSS Applications features:

detailed programs and outputs of all examples illustrated in the book using SAS(R) 8.02 and SPSS on the book's CD;

Taylor & Francis

Causality: Statistical Perspectives and Applications

9780470665565 13.07.2012 Oprawa: twarda

£ 55,00

Carlo Berzuini

This book looks at a broad collection of contributions from experts in their fields. Providing a thorough treatment on statistical causality. Methods and their applications are provided with theoretical background and emphasis is given to practice rather than theory, with technical content kept to a minimum. Step-by-step instructions for using the methods are presented with a broad range of examples, including medicine, biology, economics, sociology and political science.

Wiley

Statystyka ogólna

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Classic Problems of Probability

9781118063255 27.07.2012 Oprawa: miękka

£ 40,50

Prakash Gorroochurn

Classic Problems of Probability presents a lively account of the most intriguing aspects of statistics. The book features a large collection of more than thirty classic probability problems which have been carefully selected for their interesting history, the way they have shaped the field, and their counterintuitive nature. From Cardano's 1564 Games of Chance to Jacob Bernoulli's 1713 Golden Theorem to Parrondo's 1996 Perplexing Paradox, the book clearly outlines the puzzles and problems of probability, interweaving the discussion with rich historical detail and the story of how the mathematicians involved arrived at their solutions. Each problem is given an in-depth treatment, including detailed and rigorous mathematical proofs as needed. Some of the fascinating topics discussed by the author include:

Buffon's Needle problem and its ingenious treatment by Joseph Barbier, culminating into a discussion of invariance

Various paradoxes raised by Joseph Bertrand

Wiley

CliffsNotes Statistics Quick Review

9780470902608 27.05.2011 Oprawa: miękka

£ 7,99

David H. Voelker

Inside the Book: Graphic displays Numerical measures Probability Sampling Principles of testing Univariate inferential tests Bivariate relationships Review questions Resource center Glossary Common mistakes Tables Why CliffsNotes? Go with the name you know and trust Get the information you need-fast! CliffsNotes Quick Review guides give you a clear, concise, easy-to-use review of the basics. Introducing each topic, defining key terms, and carefully walking you through sample problems, this guide helps you grasp and understand the important concepts needed to succeed. Access 500 additional practice questions at www.cliffsnotes.com/go/quiz/statistics Master the Basics--Fast Complete coverage of core concepts Easy topic-by-topic organization Access hundreds of practice problems at www.cliffsnotes.com/go/quiz/statistics

Wiley

Common Errors in Statistics (and How to Avoid Them)

9781118294390 26.07.2012 Oprawa: miękka

£ 40,50

Phillip I. Good

Common Errors in Statistics (and How to Avoid Them), Fourth Edition provides a mathematically rigorous, yet readily accessible foundation in statistics for experienced readers as well as students learning to design and complete experiments, surveys, and clinical trials. Providing a consistent level of coherency throughout, the highly readable Fourth Edition focuses on debunking popular myths, analyzing common mistakes, and instructing readers on how to choose the appropriate statistical technique to address their specific task. The authors begin with an introduction to the main sources of error and provide techniques for avoiding them. Subsequent chapters outline key methods and practices for accurate analysis, reporting, and model building. The Fourth Edition features newly added topics, including:

Baseline data

Detecting fraud

Linear regression versus linear behavior

Wiley

Competing Risks and Multistate Models with R

9781461420347 18.11.2011 Oprawa: miękka

€ 49,95

Jan Beyersmann

This book covers competing risks and multistate models, sometimes summarized as event history analysis. These models generalize the analysis of time to a single event (survival analysis) to analysing the timing of distinct terminal events (competing risks) and possible intermediate events (multistate models). Both R and multistate methods are promoted with a focus on nonparametric methods.

Springer

Confidence Intervals for Proportions and Related Measures for Effect Size

9781439812785 20.09.2012 Oprawa: twarda

£ 57,99

Robert G. Newcombe

Confidence Intervals for Proportions and Related Measures of Effect Size illustrates the use of effect size measures and corresponding confidence intervals as more informative alternatives to the most basic and widely used significance tests. The book provides you with a deep understanding of what happens when these statistical methods are applied in situations far removed from the familiar Gaussian case. Drawing on his extensive work as a statistician and professor at Cardiff University School of Medicine, the author brings together methods for calculating confidence intervals for proportions and several other important measures, including differences, ratios, and nonparametric effect size measures generalizing Mann-Whitney and Wilcoxon tests. He also explains three important approaches to obtaining intervals for related measures. Many examples illustrate the application of the methods in the health and social sciences. Requiring little computational skills, the book offers user-friendly Excel spreadsheets for download at www.crcpress.com, enabling you to easily apply the methods to your own empirical data.

Taylor & Francis

Constrained Principal Component Analysis and Related Techniques

9781466556669 16.11.2013 Oprawa: twarda

£ 57,99

Yoshio Takane

Despite the introduction of constrained principal component analysis (CPCA) over 20 years ago, there is no single resource that examines its ramifications, extensions, implementations, and applications. This book explores how CPCA incorporates external information into PCA of a main data matrix. It provides a systematic, in-depth account of the mathematical underpinnings, special cases, related topics, interesting applications, and implementation details. The author explains how CPCA first decomposes the data matrix according to the external information (external analysis) and then applies PCA to decomposed matrices (internal analysis).

Taylor & Francis

Statystyka ogólna

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Data Analysis Using Stata

9781597181105 21.09.2012 Oprawa: miękka

£ 49,99

Ulrich Kohler

Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks. The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand. Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines.

Taylor & Francis

Design and Analysis of Experiments with Examples of SAS

9781420060607 03.05.2010 Oprawa: twarda

£ 66,99

John Lawson

A culmination of the author's many years of consulting and teaching, "Design and Analysis of Experiments with SAS" provides practical guidance on the computer analysis of experimental data. It connects the objectives of research to the type of experimental design required, describes the actual process of creating the design and collecting the data, shows how to perform the proper analysis of the data, and illustrates the interpretation of results. Drawing on a variety of application areas, from pharmaceuticals to machinery, the book presents numerous examples of experiments and exercises that enable students to perform their own experiments. Harnessing the capabilities of SAS 9.2, it includes examples of SAS data step programming and IML, along with procedures from SAS Stat, SAS QC, and SAS OR. The text also shows how to display experimental results graphically using SAS codes graphics. The author emphasizes how the sample size, the assignment of experimental units to combinations of treatment factor levels (error control), and the selection of treatment factor combinations (treatment design) affect the resulting variance and bias of estimates as well as the validity of conclusions.

Taylor & Francis

Design of Experiments: An Introduction Based on Linear Models

9781584889236 27.07.2010 Oprawa: twarda

£ 62,99

Max Morris

Offering deep insight into the connections between design choice and the resulting statistical analysis, Design of Experiments: An Introduction Based on Linear Models explores how experiments are designed using the language of linear statistical models. The book presents an organized framework for understanding the statistical aspects of experimental design as a whole within the structure provided by general linear models, rather than as a collection of seemingly unrelated solutions to unique problems. The core material can be found in the first thirteen chapters. These chapters cover a review of linear statistical models, completely randomized designs, randomized complete blocks designs, Latin squares, analysis of data from orthogonally blocked designs, balanced incomplete block designs, random block effects, split-plot designs, and two-level factorial experiments. The remainder of the text discusses factorial group screening experiments, regression model design, and an introduction to optimal design. To emphasize the practical value of design, most chapters contain a short example of a real-world experiment.

Taylor & Francis

Design of Observational Studies

9781441912121 06.11.2009 Oprawa: twarda

€ 76,95

Paul R. Rosenbaum

An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaum's Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R.

Springer

Dirichlet and Related Distributions

9780470688199 13.04.2011 Oprawa: twarda

£ 257,00

Kai Wang Ng

The Dirichlet distribution appears in many areas of application, which include modelling of compositional data, Bayesian analysis, statistical genetics, and nonparametric inference. This book provides a comprehensive review of the Dirichlet distribution and two extended versions, the Grouped Dirichlet Distribution (GDD) and the Nested Dirichlet Distribution (NDD), arising from likelihood and Bayesian analysis of incomplete categorical data and survey data with non-response. The theoretical properties and applications are also reviewed in detail for other related distributions, such as the inverted Dirichlet distribution, Dirichlet-multinomial distribution, the truncated Dirichlet distribution, the generalized Dirichlet distribution, Hyper-Dirichlet distribution, scaled Dirichlet distribution, mixed Dirichlet distribution, Liouville distribution, and the generalized Liouville distribution.

Wiley

Discovering Statistics Using IBM SPSS Statistics

9781446249185 31.03.2013 Oprawa: miękka

£ 41,99

Andy Field

Unrivalled in the way it makes the teaching of statistics compelling and accessible to even the most anxious of students, the only statistics textbook you and your students will ever need just got better! Andy Field's bestselling Discovering Statistics Using SPSS 4th Edition, already an immensely comprehensive textbook - taking students from first principles to advanced statistical concepts, and all the while grounding knowledge through the use of SPSS - now focuses on providing essential updates, better accessibility to its key features, more instructor resources and broader reach to new student groups - with powerful new digital developments on the textbook's companion website. New to the 4th Edition - New WebAssign(R) facility. If you adopt this for use on your course it will allow you to produce and manage assignments online with your students and includes a grading facility to monitor students' progress. Students can practise questions over and over and be provided with instant feedback and links to the accompanying Ebook where correct solutions can be found - The mobile study facility encourages students equipped with smartphones and tablets to access revision material such as Cramming

SAGE

...

Statystyka ogólna

74 www.abe.pl

Discovering Statistics Using R

9781446200469 01.03.2012 Oprawa: miękka

£ 46,99

Field

Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field's books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world. The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual understanding of what you're doing, the emphasis is on applying what you learn to playful and real-world examples that should make the experience more fun than you might expect.

SAGE

Discovering Stats Using SAS

9781849200929 15.02.2010 Oprawa: miękka

£ 39,99

Field

Hot on the heels of the 3rd edition of Andy Field's award-winning Discovering Statistics Using SPSS comes this brand new version for students using SAS®. Andy has teamed up with a co-author, Jeremy Miles, to adapt the book with all the most up-to-date commands and programming language from SAS® 9.2. If you're using SAS®, this is the only book on statistics that you will need! The book provides a comprehensive collection of statistical methods, tests and procedures, covering everything you're likely to need to know for your course, all presented in Andy's accessible and humourous writing style. Suitable for those new to statistics as well as students on intermediate and more advanced courses, the book walks students through from basic to advanced level concepts, all the while reinforcing knowledge through the use of SAS®. A 'cast of characters' supports the learning process throughout the book, from providing tips on how to enter data in SAS® properly to testing knowledge covered in chapters interactively, and 'real world' and invented examples illustrate the concepts and make the techniques come alive.

SAGE

Elementary Statistics

9780321709981 01.01.2011 Oprawa: miękka

£ 56,99

Neil A. Weiss

Weiss's Elementary Statistics, Eighth Edition is the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. Comprehensive in its coverage, Weiss's meticulous style offers careful, detailed explanations to ease the learning process. With more than 2,000 exercises, most using real data, there is a wealth of opportunity for students to apply their knowledge and develop statistical literacy. The text is suitable for a one-semester course. Elementary Statistics, Eighth Edition, contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows both the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two. This edition of Elementary Statistics continues the book's tradition of being on the cutting edge of statistical pedagogy, technology, and data analysis. It includes hundreds of new and updated exercises with real data from journals, magazines, newspapers, and Web sites. Elementary Statistics, Eighth Edition, takes a data-driven approach with more than 700 data sets documented by several hundred data sources.

Pearson Education

Elementary Statistics

9780321894014 01.01.2013 Oprawa: twarda

£ 53,99

Mario F. Triola

From SAT scores to job search methods, statistics influences and shapes the world around us. Marty Triola's text continues to be the bestseller because it helps students understand the relationship between statistics and the world, bringing life to the theory and methods. Elementary Statistics raises the bar with every edition by incorporating an unprecedented amount of real and interesting data that will help instructors connect with students today, and help them connect statistics to their daily lives. The Twelfth Edition contains more than 1,800 exercises, 89% of which use real data and 85% of which are new. Hundreds of examples are included, 91% of which use real data and 84% of which are new. New coverage of Ethics in Statistics highlights new guidelines that have been established in industry.

Pearson Education

Elementary Statistics Tables

9780415563475 04.08.2011 Oprawa: miękka

£ 17,99

H.R. Neave

This book, designed for students taking a basic introductory course in statistical analysis, is far more than just a book of tables. Each table is accompanied by a careful but concise explanation and useful worked examples. Requiring little mathematical background, "Elementary Statistics Tables" is thus not just a reference book but a positive and user-friendly teaching and learning aid.

Taylor & Francis

Elementary Statistics Using Excel

9780321890245 13.02.2013 Oprawa: twarda

£ 119,99

Mario F. Triola

From SAT scores to job search methods, statistics influences and shapes the world around us. Marty Triola's text continues to be the bestseller because it helps students understand the relationship between statistics and the world, bringing life to the theory and methods. Elementary Statistics raises the bar with every edition by incorporating an unprecedented amount of real and interesting data that will help instructors connect with students today, and help them connect statistics to their daily lives. The Twelfth Edition contains more than 1,800 exercises, 89% of which use real data and 85% of which are new. Hundreds of examples are included, 91% of which use real data and 84% of which are new. New coverage of Ethics in Statistics highlights new guidelines that have been established in industry.

Pearson Education

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Elementary Statistics Using the TI-83/84 Plus Calculator

9780321641489 08.02.2010 Oprawa: twarda

£ 113,98

Mario F. Triola

95% of Introductory Statistics students will never take another Statistics course. What do you want to learn? Discover the Power of Real Data Mario Triola remains the market-leading statistics author by engaging readers of each edition with an abundance of real data in the examples, applications, and exercises. Statistics is all around us, and Triola helps readers understand how this course will impact their lives beyond the classroom-as consumers, citizens, and professionals. Elementary Statistics Using the TI-83/84 Plus Calculator, Third Edition provides extensive instruction for using the TI-83 and TI-84 Plus (and Silver Edition) calculators for statistics, with information on calculator functions, images of screen displays, and projects designed exclusively for the graphing calculator. Drawn from Triola,s Elementary Statistics, Eleventh Edition, this text provides the same student-friendly approach with material presented in a real-world context. The Third Edition contains more than 2,000 exercises, 87% are new, and 82% use real data. It also contains hundreds of examples; 86% are new and 94% use real data.

Pearson Education

Elementary Statistics: Picturing the World

9780321709974 24.12.2010 Oprawa: twarda

£ 67,99

Ron Larson

Elementary Statistics: Picturing the World, Fifth Edition, offers our most accessible approach to statistics-with more than 750 graphical displays that illustrate data, readers are able to visualize key statistical concepts immediately. Adhering to the philosophy that students learn best by doing, this book relies heavily on examples-25% of the examples and exercises are new for this edition. Larson and Farber continue to demonstrate that statistics is all around us and that it's easy to understand.

Pearson Education

Elements of Distribution Theory

9781107630734 24.10.2011 Oprawa: miękka

£ 29,99

Thomas A. Severini

This detailed introduction to distribution theory uses no measure theory, making it suitable for students in statistics and econometrics as well as for researchers who use statistical methods. Good backgrounds in calculus and linear algebra are important and a course in elementary mathematical analysis is useful, but not required. An appendix gives a detailed summary of the mathematical definitions and results that are used in the book. Topics covered range from the basic distribution and density functions, expectation, conditioning, characteristic functions, cumulants, convergence in distribution and the central limit theorem to more advanced concepts such as exchangeability, models with a group structure, asymptotic approximations to integrals, orthogonal polynomials and saddlepoint approximations. The emphasis is on topics useful in understanding statistical methodology; thus, parametric statistical models and the distribution theory associated with the normal distribution are covered comprehensively.


Empirical Model Building: Data, Models, and Reality

9780470467039 02.12.2011 Oprawa: twarda

£ 83,50

James R. Thompson

Praise for the First Edition "This...novel and highly stimulating book, which emphasizes solving real problems...should be widely read. It will have a positive and lasting effect on the teaching of modeling and statistics in general." - Short Book Reviews This new edition features developments and real-world examples that showcase essential empirical modeling techniques Successful empirical model building is founded on the relationship between data and approximate representations of the real systems that generated that data. As a result, it is essential for researchers who construct these models to possess the special skills and techniques for producing results that are insightful, reliable, and useful. Empirical Model Building: Data, Models, and Reality, Second Edition presents a hands-on approach to the basic principles of empirical model building through a shrewd mixture of differential equations, computer-intensive methods, and data.

Wiley

Empirical Processes in M-estimation

9780521123259 19.01.2010 Oprawa: miękka

£ 28,99

Sara A. van de Geer

The theory of empirical processes provides valuable tools for the development of asymptotic theory in (nonparametric) statistical models, and makes possible the unified treatment of a number of them. This book reveals the relation between the asymptotic behaviour of M-estimators and the complexity of parameter space. Virtually all results are proved using only elementary ideas developed within the book; there is minimal recourse to abstract theoretical results. To make the results concrete, a detailed treatment is presented for two important examples of M-estimation, namely maximum likelihood and least squares. The theory also covers estimation methods using penalties and sieves. Many illustrative examples are given, including the Grenander estimator, estimation of functions of bounded variation, smoothing splines, partially linear models, mixture models and image analysis. Graduate students and professionals in statistics as well as those with an interest in applications, to such areas as econometrics, medical statistics, etc., will welcome this treatment.


Essentials of Statistical Inference

9780521548663 29.03.2010 Oprawa: miękka

£ 21,99

G.A. Young

Aimed at advanced undergraduate and graduate students in mathematics and related disciplines, this 2005 book presents the concepts and results underlying the Bayesian, frequentist and Fisherian approaches, with particular emphasis on the contrasts between them. Computational ideas are explained, as well as basic mathematical theory. Written in a lucid and informal style, this concise text provides both basic material on the main approaches to inference, as well as more advanced material on developments in statistical theory, including: material on Bayesian computation, such as MCMC, higher-order likelihood theory, predictive inference, bootstrap methods and conditional inference. It contains numerous extended examples of the application of formal inference techniques to real data, as well as historical commentary on the development of the subject. Throughout, the text concentrates on concepts, rather than mathematical detail, while maintaining appropriate levels of formality. Each chapter ends with a set of accessible problems.


Statystyka ogólna

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Essentials of Statistics

9780321721693 30.04.2010 Oprawa: miękka

£ 56,99

Mario F. Triola

95% of Introductory Statistics students will never take another statistics course. What do you want to learn? Discover the Power of Real Data Mario Triola remains the market-leading statistics author by engaging readers of each edition with an abundance of real data in the examples, applications, and exercises. Statistics is all around us, and Triola helps readers understand how this course will impact their lives beyond the classroom-as consumers, citizens, and professionals. Essentials of Statistics, Fourth Edition is a more economical and streamlined introductory statistics text. Drawn from Triola's Elementary Statistics, Eleventh Edition, this text provides the same student-friendly approach with material presented in a real-world context. The Fourth Edition contains more than 1,700 exercises (18% more than the previous edition); 89% are new and 81% use real data. The book also contains hundreds of examples; 86% are new and 92% use real data. By analyzing real data, readers are able to connect abstract concepts to the world at large, teaching them to think statistically and apply their conceptual understanding using the same methods that professional statisticians employ.

Pearson Education

Essentials of Stochastic Processes

9781461436140 23.05.2012 Oprawa: twarda

€ 49,95

Richard Durrett

This book is for a first course in stochastic processes taken by undergraduates or master,s students who have had a course in probability theory. It covers Markov chains in discrete and continuous time, Poisson processes, renewal processes, martingales, and mathematical finance. One can only learn a subject by seeing it in action, so there are a large number of examples and more than 300 carefully chosen exercises to deepen the reader,s understanding The book has undergone a thorough revision since the first edition. There are many new examples and problems with solutions that use the TI-83 to eliminate the tedious details of solving linear equations by hand. Some material that was too advanced for the level has been eliminated while the treatment of other topics useful for applications has been expanded. In addition, the ordering of topics has been improved. For example, the difficult subject of martingales is delayed until its usefulness can be seen in the treatment of mathematical finance. Richard Durrett received his Ph.D. in Operations Research from Stanford in 1976. He taught at the UCLA math department for nine years and at Cornell for twenty-five before moving to Duke in 2010.

Springer

Everyday Probability and Statistics

9781848167629 07.08.2012 Oprawa: miękka

£ 31,00

Michael Mark Woolfson

Probability and statistics impinge on the life of the average person in a variety of ways - as is suggested by the title of this book. Very often, information is provided that is factually accurate but intended to present a biased view. This book presents the important results of probability and statistics without making heavy mathematical demands on the reader. It should enable an intelligent reader to properly assess statistical information and to understand that the same information can be presented in different ways. The author presents a new chapter exploring science and society including the way that scientists communicate with the public on current topics such as global warming. The book also investigates pensions and pension policy, and how they are influenced by changing actuarial tables.


Expansions and Asymptotics for Statistics

9781584885900 04.05.2010 Oprawa: twarda

£ 62,99

Christopher G. Small

Asymptotic methods provide important tools for approximating and analysing functions that arise in probability and statistics. Moreover, the conclusions of asymptotic analysis often supplement the conclusions obtained by numerical methods. Providing a broad toolkit of analytical methods, Expansions and Asymptotics for Statistics shows how asymptotics, when coupled with numerical methods, becomes a powerful way to acquire a deeper understanding of the techniques used in probability and statistics. The book first discusses the role of expansions and asymptotics in statistics, the basic properties of power series and asymptotic series, and the study of rational approximations to functions. With a focus on asymptotic normality and asymptotic efficiency of standard estimators, it covers various applications, such as the use of the delta method for bias reduction, variance stabilisation, and the construction of normalising transformations, as well as the standard theory derived from the work of R.A. Fisher, H. Cramér, L. Le Cam, and others. The book then examines the close connection between saddle-point approximation and the Laplace method.

Taylor & Francis

Fisher, Neyman, and the Creation of Classical Statistics

9781441994998 03.08.2011 Oprawa: miękka

€ 26,95

Erich L. Lehmann

Classical statistical theory-hypothesis testing, estimation, and the design of experiments and sample surveys-is mainly the creation of two men: Ronald A. Fisher (1890-1962) and Jerzy Neyman (1894-1981). Their contributions sometimes complemented each other, sometimes occurred in parallel, and, particularly at later stages, often were in strong opposition. The two men would not be pleased to see their names linked in this way, since throughout most of their working lives they detested each other. Nevertheless, they worked on the same problems, and through their combined efforts created a new discipline. This new book by E.L. Lehmann, himself a student of Neyman's, explores the relationship between Neyman and Fisher, as well as their interactions with other influential statisticians, and the statistical history they helped create together. Lehmann uses direct correspondence and original papers to recreate an historical account of the creation of the Neyman-Pearson Theory as well as Fisher's dissent, and other important statistical theories.

Springer

Frequency Curves and Correlation

9781107601291 30.06.2011 Oprawa: miękka

£ 16,99

William Palin Elderton

Originally published in 1906 by C. & E. Layton, Limited, this work, with its many later improvements, became a standard textbook on curve-fitting and was several times reissued. Reprinted here is the 1953 fourth edition of the book, published by Cambridge University Press, and containing a preface by the author, Sir William Elderton, in which he comments on the changes that he introduced.


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From Finite Sample to Asymptotic Methods in Statistics

9780521877220 03.01.2009 Oprawa: twarda

£ 54,00

Pranab Kumar Sen

Exact statistical inference may be employed in diverse fields of science and technology. As problems become more complex and sample sizes become larger, mathematical and computational difficulties can arise that require the use of approximate statistical methods. Such methods are justified by asymptotic arguments but are still based on the concepts and principles that underlie exact statistical inference. With this in perspective, this book presents a broad view of exact statistical inference and the development of asymptotic statistical inference, providing a justification for the use of asymptotic methods for large samples. Methodological results are developed on a concrete and yet rigorous mathematical level and are applied to a variety of problems that include categorical data, regression, and survival analyses. This book is designed as a textbook for advanced undergraduate or beginning graduate students in statistics, biostatistics, or applied statistics but may also be used as a reference for academic researchers.


Functional Estimation for Density, Regression Models and Processes

9789814343732 25.03.2011 Oprawa: twarda

£ 52,00

Odile Pons

This book presents a unified approach on nonparametric estimators for models of independent observations, jump processes and continuous processes. New estimators are defined and their limiting behavior is studied. From a practical point of view, the book expounds on the construction of estimators for functionals of processes and densities, and provides asymptotic expansions and optimality properties from smooth estimators. It also presents new regular estimators for functionals of processes, compares histogram and kernel estimators of several new estimators for single-index models, and examines the weak convergence of the estimators.


Generalized Linear Models: with Applications in Engineering and the

9780470454633 16.04.2010 Oprawa: twarda

£ 83,50

Raymond H. Myers

Maintaining the same nontechnical approach as its acclaimed predecessor, this second edition of Generalized Linear Models is now thoroughly extended to include the latest developments in the field, the most relevant computational approaches, and the most relevant examples from the fields of engineering and physical sciences. This new edition is more tutorial in nature with added examples, exercises, and step-by-step analyses that can be easily worked using the SAS, Minitab, JMP, and R software packages. Its relevant for upper-undergraduate and graduate students as well as engineers, scientists, and statisticians.

Wiley

Graphical Models with R

9781461422983 23.02.2012 Oprawa: miękka

€ 49,95

Soren Hojsgaard

Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of different graphical modeling software programs have been written over the years. In recent years many of these software developments have taken place within the R community, either in the form of new packages or by providing an R interface to existing software. This book attempts to give the reader a gentle introduction to graphical modeling using R and the main features of some of these packages. In addition, the book provides examples of how more advanced aspects of graphical modeling can be represented and handled within R. Topics covered in the seven chapters include graphical models for contingency tables, Gaussian and mixed graphical models, Bayesian networks and modeling high dimensional data.

Springer

Handbook of Fitting Statistical Distributions with R

9781584887119 01.10.2010 Oprawa: twarda

£ 101,00

Zaven A. Karian

Strengthened by examples taken from the scientific literature, this handbook provides statisticians and researchers across the physical and social sciences with cutting-edge methods for fitting continuous probability distributions. It presents families with wide-ranging applicability, including Johnson's system, kappa distribution, and generalized lambda distribution. By providing the necessary R programs, the book enables practitioners to implement the techniques using R computer code. To cover distribution method combinations not included in the book's extensive tables, the authors delve into the application of computational algorithms and attendant approximation errors.

Taylor & Francis

Handbook of Mixed Membership Models and Their Applications

9781466504080 26.10.2013 Oprawa: twarda

£ 63,99

Edoardo M Airoldi (Harvard University, Massa-

Unlike classical mixture models that are limited by the assumption that each object or individual belongs to only one mixture component, mixed membership models handle various data structures and multivariate data of mixed types, including longitudinal, sparse, and relational data structures. A compilation of peer-reviewed articles from researchers in genetics and computer science, this volume examines the characteristics of mixed membership distribution. It gives a fresh take on cluster and classical modeling with a focus on posterior membership probabilities.

Taylor & Francis

Statystyka ogólna

78 www.abe.pl

Handbook of Monte Carlo Methods

9780470177938 01.04.2011 Oprawa: twarda

£ 96,95

Dirk P. Kroese

More and more of today’s numerical problems found in engineering and finance are solved through Monte Carlo methods. The heightened popularity of these methods and their continuing development makes it important for researchers to have a comprehensive understanding of the Monte Carlo approach. Handbook of Monte Carlo Methods provides the theory, algorithms, and applications that helps provide a thorough understanding of the emerging dynamics of this rapidly-growing field. The authors begin with a discussion of fundamentals such as how to generate random numbers on a computer. Subsequent chapters discuss key Monte Carlo topics and methods, including:

Random variable and stochastic process generation

Markov chain Monte Carlo, featuring key algorithms such as the Metropolis-Hastings method, the Gibbs sampler, and hit-and-run

Discrete-event simulation

Techniques for the statistical analysis of simulation data including the delta method, steady-state estimation, and kernel density estimation

Wiley

Handbook of Parametric and Nonparametric Statistical Procedures

9781439858011 02.05.2011 Oprawa: twarda

£ 115,00

David J. Sheskin

Following in the footsteps of its bestselling predecessors, the Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition provides researchers, teachers, and students with an all-inclusive reference on univariate, bivariate, and multivariate statistical procedures. New in the Fifth Edition: Substantial updates and new material throughout New chapters on path analysis, meta-analysis, and structural equation modeling Index numbers and time series analysis applications in business and economics Statistical quality control applications in industry Random- and fixed-effects models for the analysis of variance Broad in scope, the Handbook is intended for individuals involved in a wide spectrum of academic disciplines encompassing the fields of mathematics, the social, biological, and environmental sciences, business, and education. A reference for statistically sophisticated individuals, the Handbook is also accessible to those lacking the theoretical or mathematical background required for understanding subject matter typically documented in statistics reference books.

Taylor & Francis

Handbook of Spatial Point Pattern Analysis in Ecology

9781420082548 25.10.2013 Oprawa: twarda

£ 49,99

Thorsten Wiegand

A guidebook to spatial point-pattern analysis for ecologists, this book provides a comprehensive presentation of the theory behind point-pattern analysis targeted at the non-expert. It contains case studies, worked examples, focus boxes, a bibliography, and a glossary. The book uses Programita for the analysis of all examples and includes detailed step-by-step instructions of how to perform the analyses within the workbook. An executable copy of Programita and all example data sets is available with the workbook. This book meets the growing need for a resource focusing on the applications of point patterns analysis to ecological problems.

Taylor & Francis

High-Dimensional Data Analysis

9789814324854 15.12.2010 Oprawa: twarda

£ 59,00

Tony Cai

Over the last few years, significant developments have been taking place in high-dimensional data analysis, driven primarily by a wide range of applications in many fields such as genomics and signal processing. In particular, substantial advances have been made in the areas of feature selection, covariance estimation, classification and regression. This book intends to examine important issues arising from high-dimensional data analysis to explore key ideas for statistical inference and prediction. It is structured around topics on multiple hypothesis testing, feature selection, regression, classification, dimension reduction, as well as applications in survival analysis and biomedical research. This book will appeal to graduate students and new researchers interested in the plethora of opportunities available in high-dimensional data analysis.


Incomplete Block Designs

9789814322683 31.08.2010 Oprawa: twarda

£ 52,00

Aloke Dey

This book presents a systematic, rigorous and comprehensive account of the theory and applications of incomplete block designs. All major aspects of incomplete block designs are considered by consolidating vast amounts of material from the literature - the classical incomplete block designs, like the balanced incomplete block (BIB) and partially balanced incomplete block (PBIB) designs. Other developments like efficiency-balanced designs, nested designs, robust designs, C-designs and alpha designs are also discussed, along with more recent developments in incomplete block designs for special types of experiments, like biological assays, test-control experiments and diallel crosses, which are generally not covered in existing books. Results on the optimality aspects of various incomplete block designs are reviewed in a separate chapter, that also includes recent results for test-control comparisons, parallel-line assays and diallel cross experiments.


Incomplete Categorical Data Design: Non-Randomized Response

9781439855331 16.08.2013 Oprawa: twarda

£ 57,99

Guo-Liang Tian

Unlike the established randomized response (RR) technique, non-randomized response (NRR) techniques yield reproducible results in survey design and analysis. This book presents new techniques designed to overcome the bias inherent in posing sensitive questions in sociological or behavioral science surveys, without requiring a means of randomization. The authors provide a systematic introduction to NRR techniques that can overcome the limitations of RR techniques, combining the strengths of existing approaches, such as RR models, incomplete data design, expectation-maximization algorithm, data augmentation algorithm, and bootstrap method.

Taylor & Francis

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Industrial Statistics: Practical Methods and Guidance for Improved

9780470497166 14.04.2010 Oprawa: twarda

£ 53,50

Anand M. Joglekar

ndustrial Statistics guides you through ten practical statistical methods that have broad applications in many different industries for enhancing research, product design, process design, validation, manufacturing, and continuous improvement. As you progress through the book, you'll discover some valuable methods that are currently underutilized in industry as well as other methods that are often not used correctly. With twenty-five years of teaching and consulting experience, author Anand Joglekar has helped a diverse group of companies reduce costs, accelerate product development, and improve operations through the effective implementation of statistical methods. Based on his experience working with both clients and students, Dr. Joglekar focuses on real-world problem-solving. For each statistical method, the book:

Presents the most important underlying concepts clearly and succinctly

Minimizes mathematical details that can be delegated to a computer

Illustrates applications with numerous practical examples

Wiley

Inequalities in Analysis and Probability

9789814412575 22.01.2013 Oprawa: twarda

£ 65,00

Odile Pons

The book is aimed at graduate students and researchers with basic knowledge of Probability and Integration Theory. It introduces classical inequalities in vector and functional spaces with applications to probability. It also develops new extensions of the analytical inequalities, with sharper bounds and generalizations to the sum or the supremum of random variables, to martingales and to transformed Brownian motions. The proofs of the new results are presented in great detail.


Intro Stats

9780321891358 02.01.2013 Oprawa: twarda

£ 53,99

Richard D. De Veaux

Richard De Veaux, Paul Velleman, and David Bock wrote Intro Stats with the goal that you have as much fun reading it as they did in writing it. Maintaining a conversational, humorous, and informal writing style, this new edition engages readers from the first page. The authors focus on statistical thinking throughout the text and rely on technology for calculations. As a result, students can focus on developing their conceptual understanding. Innovative Think/Show/Tell examples provide a problem-solving framework and, more importantly, a way to think through any statistics problem and present their results. New to the Fourth Edition is a streamlined presentation that keeps students focused on what's most important, while including out helpful features. An updated organization divides chapters into sections, with specific learning objectives to keep students on track. A detailed table of contents assists with navigation through this new layout. Single-concept exercises complement the existing mid- to hard-level exercises for basic skill development.

Pearson Education

Introduction to General and Generalized Linear Models

9781420091557 05.11.2010 Oprawa: twarda

£ 41,99

Poul Thyregod

Since the mathematics behind generalized linear models is often difficult to follow while the mathematics behind general linear models is well understood, this text describes the methodology behind both models in a parallel setup. After introducing a likelihood framework that is sufficient to cover both approaches, the authors present general linear models, including analysis of covariance, before moving on to more complicated generalized linear models using the same likelihood-based approach. Numerous simulated and real-world examples, implemented using R and SAS, illustrate the methods discussed. The text also provides exercises to further develop understanding.

Taylor & Francis

Introduction to Linear Regression Analysis

9780470542811 27.04.2012 Oprawa: twarda

£ 90,50


Praise for the Fourth Edition "As with previous editions, the authors have produced a leading textbook on regression." -- Journal of the American Statistical Association A comprehensive and up-to-date introduction to the fundamentals of regression analysis Introduction to Linear Regression Analysis, Fifth Edition continues to present both the conventional and less common uses of linear regression in today's cutting-edge scientific research. The authors blend both theory and application to equip readers with an understanding of the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences. Following a general introduction to regression modeling, including typical applications, a host of technical tools are outlined such as basic inference procedures, introductory aspects of model adequacy checking, and polynomial regression models and their variations. The book then discusses how transformations and weighted least squares can be used to resolve problems of model inadequacy and also how to deal with influential observations.

Wiley

Introduction to Modeling and Analysis of Stochastic Systems

9781441917713 10.11.2010 Oprawa: twarda

€ 79,95

V. G. Kulkarni

This book provides a self-contained review of all the relevant topics in probability theory. A software package called MAXIM, which runs on MATLAB, is made available for downloading. Vidyadhar G. Kulkarni is Professor of Operations Research at the University of North Carolina at Chapel Hill.

Springer

Statystyka ogólna

80 www.abe.pl

Introduction to the Theory of Statistical Inference

9781439852927 25.07.2011 Oprawa: miękka

£ 31,99

Silvelyn Zwanzig

Based on the authors' lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Suitable for a second-semester undergraduate course on statistical inference, the book offers proofs to support the mathematics. It illustrates core concepts using cartoons and provides solutions to all examples and problems. Highlights Basic notations and ideas of statistical inference are explained in a mathematically rigorous, but understandable, form Classroom-tested and designed for students of mathematical statistics Examples, applications of the general theory to special cases, exercises, and figures provide a deeper insight into the material Solutions provided for problems formulated at the end of each chapter Combines the theoretical basis of statistical inference with a useful applied toolbox that includes linear models Theoretical, difficult, or frequently misunderstood problems are marked The book is aimed at advanced undergraduate students, graduate students in mathematics and statistics, and theoretically-interested students from other disciplines.

Taylor & Francis

Introduction to Time Series Using Stata

9781597181327 08.02.2013 Oprawa: miękka

£ 49,99

Sean Becketti

Recent decades have witnessed explosive growth in new and powerful tools for timeseries analysis. These innovations have overturned older approaches to forecasting, macroeconomic policy analysis, the study of productivity and long-run economic growth, and the trading of financial assets. Familiarity with these new tools on time series is an essential skill for statisticians, econometricians, and applied researchers. Introduction to Time Series Using Stata provides a step-by-step guide to essential timeseries techniques-from the incredibly simple to the quite complex-and, at the same time, demonstrates how these techniques can be applied in the Stata statistical package. The emphasis is on an understanding of the intuition underlying theoretical innovations and an ability to apply them. Real-world examples illustrate the application of each concept as it is introduced, and care is taken to highlight the pitfalls, as well as the power, of each new tool. Sean Becketti is a financial industry veteran with three decades of experience in academics, government, and private industry.

Taylor & Francis

Introductory Statistics

9780321740458 01.10.2010 Oprawa: twarda

£ 63,99

Neil A. Weiss

Weiss's Introductory Statistics, Ninth Edition is the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. The text is suitable for a one- or two-semester course. Comprehensive in its coverage, Weiss's meticulous style offers careful, detailed explanations to ease the learning process. With more than 1,000 data sets and more than 2,600 exercises, most using real data, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical literacy. Introductory Statistics, Ninth Edition, contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows both the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two. This edition continues the book's tradition of being on the cutting edge of statistical pedagogy, technology, and data analysis. It includes hundreds of new and updated exercises with real data from journals, magazines, newspapers, and websites. Datasets and other resources (where applicable) for this book are available here.

Pearson Education

Introductory Statistics: A Conceptual Approach Using R

9780415996006 17.12.2012 Oprawa: miękka

£ 60,00

William B. Ware

This comprehensive and uniquely organized text is aimed at undergraduate and graduate level statistics courses in education, psychology, and other social sciences. A conceptual approach, built around common issues and problems rather than statistical techniques, allows students to understand the conceptual nature of statistical procedures and to focus more on cases and examples of analysis. Wherever possible, presentations contain explanations of the underlying reasons behind a technique. Importantly, this is one of the first statistics texts in the social sciences using R as the principal statistical package. Key features include the following. Conceptual Focus - The focus throughout is more on conceptual understanding and attainment of statistical literacy and thinking than on learning a set of tools and procedures. Problems and Cases - Chapters and sections open with examples of situations related to the forthcoming issues, and major sections ends with a case study.

Taylor & Francis

Introductory Statistics: Exploring the World Through Data

9780321322159 27.12.2011 Oprawa: twarda

£ 75,99

Robert Gould

We live in a data-driven world, and this is a book about understanding and working with that data. In order to be informed citizens, authors Rob Gould and Colleen Ryan believe that learning statistics extends beyond the classroom to an essential life skill. They teach students of all math backgrounds how to think about data, how to reason using data, and how to make decisions based on data. With a clear, unintimidating writing style and carefully chosen pedagogy,Introductory Statistics: Exploring the World through Data makes data analysis accessible to all students. Guided Exercises support students by building their confidence as they learn to solve problems. Snapshots summarize statistical procedures and concepts for convenient studying. While this text assumes the use of statistical software, formulas are presented as an aid to understanding the concepts rather than the focus of study. Check Your Tech features demonstrate how students will get the same numerical value by-hand as when using statistical software.

Pearson Education

Introductory Time Series with R

9780387886978 01.04.2009 Oprawa: miękka

€ 49,95

Paul S.P. Cowpertwait

Yearly global mean temperature and ocean levels, daily share prices, and the signals transmitted back to Earth by the Voyager space craft are all examples of sequential observations over time known as time series. This book gives you a step-by-step introduction to analysing time series using the open source software R. Each time series model is motivated with practical applications, and is defined in mathematical notation. Once the model has been introduced it is used to generate synthetic data, using R code, and these generated data are then used to estimate its parameters. This sequence enhances understanding of both the time series model and the R function used to fit the model to data. Finally, the model is used to analyse observed data taken from a practical application. By using R, the whole procedure can be reproduced by the reader. All the data sets used in the book are available on the website http://www.massey.ac.nz/~pscowper/ts. The book is written for undergraduate students of mathematics, economics, business and finance, geography, engineering and related disciplines, and postgraduate students who may need to analyse time series as part of their taught programme or their

Springer

...

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Kendalls Advanced Theory of Statistics

9780470669549 09.02.2010 Oprawa: twarda

£ 257,00

Alan Stuart

Wiley

Large Sample Inference for Long Memory Processes

9781848162785 01.07.2010 Oprawa: twarda

£ 78,00

Liudas Giraitis

A discrete-time stationary stochastic process with finite variance is said to have long memory if its autocorrelations tend to zero hyperbolically in the lag, i.e. like a power of the lag, as the lag tends to infinity. The absolute sum of autocorrelations of such processes diverges and their spectral density at the origin is unbounded. This is unlike the so-called weakly dependent processes, where autocorrelations tend to zero exponentially fast and the spectral density is bounded at the origin. In a long memory process, the dependence between the current observation and the one at a distant future is persistent; whereas in the weakly dependent processes, these observations are approximately independent. This fact alone is enough to warn a person about the validity of the classical inference procedures based on the square root of the sample size standardization when data are generated by a long-term memory process. The aim of this volume is to provide a text at the graduate level from which one can learn, in a concise fashion, some basic theory and techniques of proving limit theorems for numerous statistics based on long memory processes.


Large-Scale Inference

9781107619678 29.11.2012 Oprawa: miękka

£ 24,99

Bradley Efron

We live in a new age for statistical inference, where modern scientific technology such as microarrays and fMRI machines routinely produce thousands and sometimes millions of parallel data sets, each with its own estimation or testing problem. Doing thousands of problems at once is more than repeated application of classical methods. Taking an empirical Bayes approach, Bradley Efron, inventor of the bootstrap, shows how information accrues across problems in a way that combines Bayesian and frequentist ideas. Estimation, testing and prediction blend in this framework, producing opportunities for new methodologies of increased power. New difficulties also arise, easily leading to flawed inferences. This book takes a careful look at both the promise and pitfalls of large-scale statistical inference, with particular attention to false discovery rates, the most successful of the new statistical techniques. Emphasis is on the inferential ideas underlying technical developments, illustrated using a large number of real examples.


Latent Class and Latent Transition Analysis

9780470228395 12.01.2010 Oprawa: twarda

£ 71,95

Linda M. Collins

One of the few books on latent class analysis (LCA) and latent transition analysis (LTA) with a comprehensive treatment of longitudinal latent class models, Latent Class and Latent Transition Analysis reflects improvements in statistical computing as the most up-to-date reference for theoretical, technical, and practical issues in cross-sectional and longitudinal data. Plentiful examples enable the reader to acquire a thorough conceptual and technical understanding and to apply techniques to address empirical research questions. Researchers seeking an advanced introduction to LCA and LTA and graduate students will benefit from this text.

Wiley

Latent Variable Models and Factor Analysis

9780470971925 15.07.2011 Oprawa: twarda

£ 55,00

David J. Bartholomew

Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective. This book presents a general framework to enable the derivation of the commonly used models, along with updated numerical examples. Nature and interpretation of a latent variable is also introduced along with related techniques for investigating dependency. This book: Provides a unified approach showing how such apparently diverse methods as Latent Class Analysis and Factor Analysis are actually members of the same family. Presents new material on ordered manifest variables, MCMC methods, non-linear models as well as a new chapter on related techniques for investigating dependency. Includes new sections on structural equation models (SEM) and Markov Chain Monte Carlo methods for parameter estimation, along with new illustrative examples. Looks at recent developments on goodness-of-fit test statistics and on non-linear models and models with mixed latent variables, both categorical and continuous.

Wiley

Maximum Likelihood Estimation and Inference

9780470094822 02.09.2011 Oprawa: twarda

£ 60,00

Russell B. Millar

This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum likelihood methodology, including general latent variable models and new material for the practical implementation of integrated likelihood using the free ADMB software. Fundamental issues of statistical inference are also examined, with a presentation of some of the philosophical debates underlying the choice of statistical paradigm. Key features: Provides an accessible introduction to pragmatic maximum likelihood modelling. Covers more advanced topics, including general forms of latent variable models (including non-linear and non-normal mixed-effects and state-space models) and the use of maximum likelihood variants, such as estimating equations, conditional likelihood, restricted likelihood and integrated likelihood. Adopts a practical approach, with a focus on providing the relevant tools required by researchers and practitioners who collect and analyze real data.

Wiley

Statystyka ogólna

82 www.abe.pl

Methodology in Robust and Nonparametric Statistics

9781439840689 30.07.2012 Oprawa: twarda

£ 63,99

Jana Jureckova

Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from biomedical sciences to the public health disciplines, and, more recently, in genomics, bioinformatics, and financial statistics. These disciplines are presently nourished by data mining and high-level computer-based algorithms, but to work actively with robust and nonparametric procedures, practitioners need to understand their background. Explaining the underpinnings of robust methods and recent theoretical developments, Methodology in Robust and Nonparametric Statistics provides a profound mathematically rigorous explanation of the methodology of robust and nonparametric statistical procedures. Thoroughly up-to-date, this book Presents multivariate robust and nonparametric estimation with special emphasis on affine-equivariant procedures, followed by hypotheses testing and confidence sets Keeps mathematical abstractions at bay while remaining largely theoretical Provides a pool of basic mathematical tools used throughout the book in derivations of main results

Taylor & Francis

Mixture

9781119993896 06.05.2011 Oprawa: twarda

£ 60,00

Christian Robert

This book uses the EM (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data set. The parameters describe the component distributions of the mixture; the distributions may be continuous or discrete. The editors provide a complete account of the applications, mathematical structure and statistical analysis of finite mixture distributions along with MCMC computational methods, together with a range of detailed discussions covering the applications of the methods and features chapters from the leading experts on the subject. The applications are drawn from scientific discipline, including biostatistics, computer science, ecology and finance. This area of statistics is important to a range of disciplines, and its methodology attracts interest from researchers in the fields in which it can be applied.

Wiley

Modelling Under Risk and Uncertainty

9780470695142 19.04.2012 Oprawa: twarda

£ 70,00

Etienne de Rocquigny

Modelling has permeated virtually all areas of industrial, environmental, economic, bio-medical or civil engineering: yet the use of models for decision-making raises a number of issues to which this book is dedicated: How uncertain is my model ? Is it truly valuable to support decision-making ? What kind of decision can be truly supported and how can I handle residual uncertainty ? How much refined should the mathematical description be, given the true data limitations ? Could the uncertainty be reduced through more data, increased modeling investment or computational budget ? Should it be reduced now or later ? How robust is the analysis or the computational methods involved ? Should / could those methods be more robust ? Does it make sense to handle uncertainty, risk, lack of knowledge, variability or errors altogether ? How reasonable is the choice of probabilistic modeling for rare events ? How rare are the events to be considered? How far does it make sense to handle extreme events and elaborate confidence figures ? Can I take advantage of expert / phenomenological knowledge to tighten the probabilistic figures ?

Wiley

Modern Elementary Statistics

9780131742581 21.11.2005 Oprawa: twarda

£ 55,26

Benjamin Perles

This book is intended for use in a first course in Statistics. There is a systematic academic approach in "Modern Elementary Statistics". Its emphasis is on introduction to meaningful, well-established statistical techniques. The future would be medical doctor, business executive, scientist, teacher, or other professional specialist must comprehend and be skillful in the application of baisc statistical tools and methodology. The student's knowledge is greatly enhanced by repeated exposure to statistical exercises.

Pearson Education

Modern Multivariate Statistical Techniques

9780387781884 Aug 2008 Oprawa: twarda

€ 73,95

Alan Julian Izenman

This is the first book on multivariate analysis to look at large data sets which describes the state of the art in analyzing such data. Material such as database management systems is included that has never appeared in statistics books before.

Springer

Modern Research Methods for the Study of Behavior in Organizations

9780415885591 22.04.2013 Oprawa: twarda

£ 57,00

Jose M. Cortina

The goal for the chapters in this book SIOP Organizational Frontiers series volume is to challenge researchers to break away from the rote application of traditional methodologies and to capitalize upon the wealth of data collection and analytic strategies available to them. In that spirit, many of the chapters in this book deal with methodologies that encourage organizational scientists to re-conceptualize phenomena of interest (e.g., experience sampling, catastrophe modeling), employ novel data collection strategies (e.g., data mining, Petri nets), and/or apply sophisticated analytic techniques (e.g., latent class analysis). The editors believe that these chapters provide compelling solutions for the complex problems faced by organizational researchers.

Taylor & Francis

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Multi-Armed Bandit Allocation Indices

9780470670026 11.03.2011 Oprawa: twarda

£ 68,95

John C. Gittins

In 1989 the first edition of this book set out Gittins' pioneering index solution to the multi-armed bandit problem and his subsequent investigation of a wide of sequential resource allocation and stochastic scheduling problems. Since then there has been a remarkable flowering of new insights, generalizations and applications, to which Glazebrook and Weber have made major contributions. This second edition brings the story up to date. There are new chapters on the achievable region approach to stochastic optimization problems, the construction of performance bounds for suboptimal policies, Whittle's restless bandits, and the use of Lagrangian relaxation in the construction and evaluation of index policies. Some of the many varied proofs of the index theorem are discussed along with the insights that they provide. Many contemporary applications are surveyed, and over 150 new references are included. Over the past 40 years the Gittins index has helped theoreticians and practitioners to address a huge variety of problems within chemometrics, economics, engineering, numerical analysis, operational research, probability, statistics and website design.

Wiley

Multilevel Statistical Models

9780470748657 22.10.2010 Oprawa: twarda

£ 62,50

Harvey Goldstein

Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages. A thorough understanding of these techniques is therefore important for all those working in these areas. This new edition of Multilevel Statistical Models brings these techniques together, starting from basic ideas and illustrating how more complex models are derived. Bayesian methodology using MCMC has been extended along with new material on smoothing models, multivariate responses, missing data, latent normal transformations for discrete responses, structural equation modeling and survival models. Key Features:* Provides a clear introduction and a comprehensive account of multilevel models.* New methodological developments and applications are explored.* Written by a leading expert in the field of multilevel methodology.* Illustrated throughout with real-life examples, explaining theoretical concepts.

Wiley

Multiple Comparison Procedures

9780470568330 23.08.2011 Oprawa: miękka

£ 60,50

Yosef Hochberg

Offering a balanced, up-to-date view of multiple comparison procedures, this book refutes the belief held by some statisticians that such procedures have no place in data analysis. With equal emphasis on theory and applications, it establishes the advantages of multiple comparison techniques in reducing error rates and in ensuring the validity of statistical inferences. Provides detailed descriptions of the derivation and implementation of a variety of procedures, paying particular attention to classical approaches and confidence estimation procedures. Also discusses the benefits and drawbacks of other methods. Numerous examples and tables for implementing procedures are included, making this work both practical and informative.

Wiley

Multivariate Generalized Linear Mixed Models Using R

9781439813263 20.04.2011 Oprawa: twarda

£ 59,99

Damon M. Berridge

To provide researchers with the ability to analyze large and complex data sets using robust models, this book presents a unified framework for a broad class of models that can be applied using a dedicated R package (Sabre). The first five chapters cover the analysis of multilevel models using univariate generalized linear mixed models (GLMMs). The next few chapters extend to multivariate GLMMs and the last chapters address more specialized topics, such as parallel computing for large-scale analyses. Each chapter includes many real-world examples implemented using Sabre as well as exercises and suggestions for further reading. Appendices cover selected background topics and computing aspects.

Taylor & Francis

Multivariate Statistics

9780470411698 09.02.2010 Oprawa: twarda

£ 80,50

Yasunori Fujikoshi

Written by well-known, award-winning authors, this is the first book to focus on high-dimensional data analysis while presenting real-world applications and research material. Emphasizing that high-dimensional asymptotic distribution can be used for a large range of samples and dimensions to achieve high levels of accuracy, this timely text provides approximation formulas, actual applications, thorough analysis of the real data, and solutions to each problem that are useful to both practical and theoretical statisticians as well as graduate students.

Wiley

Multivariate Statistics: Theory and Applications

9789814449397 31.03.2013 Oprawa: twarda

£ 65,00

Tonu Kollo

The book aims to present a wide range of the newest results on multivariate statistical models, distribution theory and applications of multivariate statistical methods. A paper on Pearson–Kotz–Dirichlet distributions by Professor N Balakrishnan contains main results of the Samuel Kotz Memorial Lecture. Extensions of linear models to multivariate exponential dispersion models and Growth Curve models are presented, and several papers on classification methods are included. Applications range from insurance mathematics to medical and industrial statistics and sampling algorithms.


Statystyka ogólna

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Negative Binomial Regression

9780521198158 17.03.2011 Oprawa: twarda

£ 54,00

Joseph M. Hilbe

This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with examples of their construction, application, interpretation and evaluation. Complete Stata and R codes are provided throughout the text, with additional code (plus SAS), derivations and data provided on the book's website. Written for the practising researcher, the text begins with an examination of risk and rate ratios, and of the estimating algorithms used to model count data. The book then gives an in-depth analysis of Poisson regression and an evaluation of the meaning and nature of overdispersion, followed by a comprehensive analysis of the negative binomial distribution and of its parameterizations into various models for evaluating count data.


New Developments and Techniques in Structural Equation Modeling

9780415655729 28.08.2012 Oprawa: miękka

£ 28,00

George A. Marcoulides

Featuring contributions from some of the leading researchers in the field of SEM, most chapters are written by the author(s) who originally proposed the technique and/or contributed substantially to its development. Content highlights include latent variable mixture modeling, multilevel modeling, interaction modeling, models for dealing with nonstandard and noncompliance samples, the latest on the analysis of growth curve and longitudinal data, specification searches, item parceling, and equivalent models. This volume will appeal to educators, psychologists, biologists, business professionals, medical researchers, and other social and health scientists. It is assumed that the reader has mastered the equivalent of a graduate-level multivariate statistics course that included coverage of introductory SEM techniques.

Taylor & Francis

Nonlinear Times Series

9781466502253 16.08.2013 Oprawa: twarda

£ 63,99

Eric Moulines

This text emphasizes nonlinear models for a course in time series analysis. After introducing stochastic processes, Markov chains, Poisson processes, and ARMA models, the authors cover functional autoregressive, ARCH, threshold AR, and discrete time series models as well as several complementary approaches. They discuss the main limit theorems for Markov chains, useful inequalities, statistical techniques to infer model parameters, and GLMs. Moving on to HMM models, the book examines filtering and smoothing, parametric and nonparametric inference, advanced particle filtering, and numerical methods for inference.

Taylor & Francis

Nonparametric Inference on Manifolds

9781107019584 05.04.2012 Oprawa: twarda

£ 50,00

Abhishek Bhattacharya

This book introduces in a systematic manner a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes. The theory has important and varied applications in medical diagnostics, image analysis, and machine vision. An early chapter of examples establishes the effectiveness of the new methods and demonstrates how they outperform their parametric counterparts. Inference is developed for both intrinsic and extrinsic Frechet means of probability distributions on manifolds, then applied to shape spaces defined as orbits of landmarks under a Lie group of transformations - in particular, similarity, reflection similarity, affine and projective transformations. In addition, nonparametric Bayesian theory is adapted and extended to manifolds for the purposes of density estimation, regression and classification. Ideal for statisticians who analyze manifold data and wish to develop their own methodology, this book is also of interest to probabilists, mathematicians, computer scientists and morphometricians with mathematical training.


Nonparametric Statistical Inference

9781420077612 26.07.2010 Oprawa: twarda

£ 66,99

Jean Dickinson Gibbons

Proven Material for a Course on the Introduction to the Theory and/or on the Applications of Classical Nonparametric Methods Since its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametric statistics. The fifth edition carries on this tradition while thoroughly revising at least 50 percent of the material. New to the Fifth Edition Updated and revised contents based on recent journal articles in the literature A new section in the chapter on goodness-of-fit tests A new chapter that offers practical guidance on how to choose among the various nonparametric procedures covered Additional problems and examples Improved computer figures This classic, best-selling statistics book continues to cover the most commonly used nonparametric procedures. The authors carefully state the assumptions, develop the theory behind the procedures, and illustrate the techniques using realistic research examples from the social, behavioral, and life sciences. For most procedures, they present the tests of hypotheses, confidence interval estimation, sample size determination, power, and comparisons of other relevant procedures.

Taylor & Francis

Nonparametric Statistical Methods and Related Topics: A Festschrift in Honor

9789814366564 21.09.2011 Oprawa: twarda

£ 88,00

F. J. Samaniego

This volume consists of 22 research papers by leading researchers in Probability and Statistics. Many of the papers are focused on themes that Professor Bhattacharya has published on research. Topics of special interest include nonparametric inference, nonparametric curve fitting, linear model theory, Bayesian nonparametrics, change point problems, time series analysis and asymptotic theory. This volume presents state-of-the-art research in statistical theory, with an emphasis on nonparametric inference, linear model theory, time series analysis and asymptotic theory. It will serve as a valuable reference to the statistics research community as well as to practitioners who utilize methodology in these areas of emphasis.


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Nonparametric Statistics and Mixture Models

9789814340557 04.01.2011 Oprawa: twarda

£ 41,00

David Hunter

This festschrift includes papers authored by many collaborators, colleagues, and students of Professor Thomas P Hettmansperger, who worked in research in nonparametric statistics, rank statistics, robustness, and mixture models during a career that spanned nearly 40 years. It is a broad sample of peer-reviewed, cutting-edge research related to nonparametrics and mixture models.


Nonparametric Statistics on Manifolds and Their Applications

9781439820506 15.10.2012 Oprawa: twarda

£ 57,99

Victor Patrangenaru

Requiring only a background in mathematical statistics or analysis, this book provides the first comprehensive look at the statistics of manifolds. It presents location and spread parameters for distribution on manifolds, followed by key large sample theory results. The text also addresses inference of two samples, nonparametric MANOVA, principal component analysis, and density estimation on manifolds. A special section is dedicated to a nonparametric statistical analysis on certain special manifolds arising in statistics. The final part of the text focuses on concrete applications in astronomy, image analysis, medical imaging, bioinformatics, and pattern recognition.

Taylor & Francis

Notes on Statistics and Data Quality for Analytical Chemists

9781848166172 17.02.2011 Oprawa: miękka

£ 34,00

Michael Thompson

The book is intended to help analytical chemists feel comfortable with the commonly used statistical operations and make effective use of the results. The emphasis is on computer-based methods that are applied in relation to measurement and the quality of the resulting data. The book is intended for analytical chemists working in industry but is at the level required for students taking first degrees or an MSc in analytical chemistry. The book is divided into quite short sections, each dealing with a single topic. The sections are as far as possible self-contained, but are extensively cross-referenced. The book can therefore be used either systematically by reading the sections sequentially, or as a quick reference by going directly to the topic of interest. Every statistical method and application covered has at least one example where the results are analysed in detail. This enables readers to emulate this analysis on their own examples. All of the datasets used in examples are available for download, so that readers can compare their own output with that of the book and thus verify that they are entering data correctly into the statistical package that they happen to use.


Optimal Experimental Design with R

9781439816974 24.05.2011 Oprawa: twarda

£ 66,99

Dieter Rasch

Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary sample size needed for a precise answer for an experimental question. Providing a concise introduction to experimental design theory, Optimal Experimental Design with R: Introduces the philosophy of experimental design Provides an easy process for constructing experimental designs and calculating necessary sample size using R programs Teaches by example using a custom made R program package: OPDOE Consisting of detailed, data-rich examples, this book introduces experimenters to the philosophy of experimentation, experimental design, and data collection. It gives researchers and statisticians guidance in the construction of optimum experimental designs using R programs, including sample size calculations, hypothesis testing, and confidence estimation. A final chapter of in-depth theoretical details is included for interested mathematical statisticians.

Taylor & Francis

Practical Multivariate Analysis

9781439816806 12.07.2011 Oprawa: twarda

£ 46,99

A. A. Afifi

This new version of the bestselling Computer-Aided Multivariate Analysis has been appropriately renamed to better characterize the nature of the book. Taking into account novel multivariate analyses as well as new options for many standard methods, Practical Multivariate Analysis, Fifth Edition shows readers how to perform multivariate statistical analyses and understand the results. For each of the techniques presented in this edition, the authors use the most recent software versions available and discuss the most modern ways of performing the analysis. New to the Fifth Edition

Chapter on regression of correlated outcomes resulting from clustered or longitudinal samples

Reorganization of the chapter on data analysis preparation to reflect current software packages

Use of R statistical software

Updated and reorganized references and summary tables

Additional end-of-chapter problems and data sets

Taylor & Francis

Practical Statistics for Geographers and Earth Scientists

9780470849156 07.01.2011 Oprawa: miękka

£ 24,95

Nigel Walford

Practical Statistics for Geographers and Earth Scientists is a text that all students can work through, regardless of their geography or earth science stream degree pathway and their existing mathematical knowledge. The text demystifies the mathematical component of statistics and presents these techniques in an easy-to-understand fashion. Case studies that illustrate the workings of each technique through photographs and diagrams will help students visualize some of the processes involved. Also covered in the book is a clear explanation of how statistical software packages work.

Wiley

Statystyka ogólna

86 www.abe.pl

Practicing Statistics

9780321586018 27.12.2011 Oprawa: twarda

£ 55,99

Shonda Kuiper

Building on the introductory course, Practicing Statistics: Guided Investigations for the Second Course presents a variety of compelling topics for a second course in statistics, such as multiple regression, nonparametric methods, and survival analysis. Every topic is introduced in the context of a real-world research question, asking students to explore the concepts firsthand with guided activities and research projects. The number of students taking AP Statistics continues to rise, and the number of students taking an introductory statistics course has more than doubled since 1990. As a result, the goals of the second course have changed. This course must engage students from multiple disciplines and demonstrate the broad applicability of statistics to their lives. To that end, this text takes an inquiry-based approach that teaches advanced statistical techniques through group work and hands-on exploration using real research questions. The chapters are modular, so that instructors can select only the topics relevant to their course, and teach them in any order. The only prerequisite is an algebra-based introductory statistics or AP statistics course.

Pearson Education

Principles of Applied Statistics

9781107644458 28.07.2011 Oprawa: miękka

£ 24,99

D. R. Cox

Applied statistics is more than data analysis, but it is easy to lose sight of the big picture. David Cox and Christl Donnelly distil decades of scientific experience into usable principles for the successful application of statistics, showing how good statistical strategy shapes every stage of an investigation. As you advance from research or policy question, to study design, through modelling and interpretation, and finally to meaningful conclusions, this book will be a valuable guide. Over a hundred illustrations from a wide variety of real applications make the conceptual points concrete, illuminating your path and deepening your understanding. This book is essential reading for anyone who makes extensive use of statistical methods in their work.


R by Example

9781461413646 17.11.2011 Oprawa: twarda

€ 54,95

Jim Albert

R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, this book is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data and this book is intended to be a useful resource for learning how to implement these procedures in R.

Springer

Random Fields: Analysis and Synthesis

9789812563538 23.07.2010 Oprawa: twarda

£ 32,00

Erik VanMarcke

Random variation is a fact of life that provides substance to a wide range of problems in the sciences, engineering, and economics. There is a growing need in diverse disciplines to model complex patterns of variation and interdependence using random fields, as both deterministic treatment and conventional statistics are often insufficient. An ideal random field model will capture key features of complex random phenomena in terms of a minimum number of physically meaningful and experimentally accessible parameters. This volume, a revised and expanded edition of an acclaimed book first published by the M I T Press, offers a synthesis of methods to describe and analyze and, where appropriate, predict and control random fields. There is much new material, covering both theory and applications, notably on a class of probability distributions derived from quantum mechanics, relevant to stochastic modeling in fields such as cosmology, biology and system reliability, and on discrete-unit or agent-based random processes. "Random Fields" is self-contained and unified in presentation.


Random Walk in Random and Non-Random Environments

9789814447508 01.05.2013 Oprawa: twarda

£ 57,00

Pal Revesz

The simplest mathematical model of the Brownian motion of physics is the simple, symmetric random walk. This book collects and compares current results - mostly strong theorems which describe the properties of a random walk. The modern problems of the limit theorems of probability theory are treated in the simple case of coin tossing. Taking advantage of this simplicity, the reader is familiarized with limit theorems (especially strong ones) without the burden of technical tools and difficulties. An easy way of considering the Wiener process is also given, through the study of the random walk. Since the first and second editions were published in 1990 and 2005, a number of new results have appeared in the literature. The first two editions contained many unsolved problems and conjectures which have since been settled; this third, revised and enlarged edition includes those new results. In this edition, a completely new part is included concerning Simple Random Walks on Graphs. Properties of random walks on several concrete graphs have been studied in the last decade. Some of the obtained results are also presented.


Regression Analysis by Example

9780470905845 05.10.2012 Oprawa: twarda

£ 83,50

Samprit Chatterjee

Praise for the Fourth Edition: "This book is ...an excellent source of examples for regression analysis. It has been and still is readily readable and understandable." --Journal of the American Statistical Association Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgment. Regression Analysis by Example, Fifth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The book offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression. The book now includes a new chapter on the detection and correction of multicollinearity, while also showcasing the use of the discussed methods on newly added data sets from the fields of engineering, medicine, and business.

Wiley

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Regression for Categorical Data

9781107009653 21.11.2011 Oprawa: twarda

£ 55,00

Gerhard Tutz

This book introduces basic and advanced concepts of categorical regression with a focus on the structuring constituents of regression, including regularization techniques to structure predictors. In addition to standard methods such as the logit and probit model and extensions to multivariate settings, the author presents more recent developments in flexible and high-dimensional regression, which allow weakening of assumptions on the structuring of the predictor and yield fits that are closer to the data. A generalized linear model is used as a unifying framework whenever possible in particular parametric models that are treated within this framework. Many topics not normally included in books on categorical data analysis are treated here, such as nonparametric regression; selection of predictors by regularized estimation procedures; ternative models like the hurdle model and zero-inflated regression models for count data; and non-standard tree-based ensemble methods, which provide excellent tools for prediction and the handling of both nominal and ordered categorical predictors. The book is accompanied by an R package that contains data sets and code for all the examples.


Research Design and Statistical Analysis

9780805864311 18.06.2010 Oprawa: twarda

£ 75,99

Jerome L. Myers

Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The book’s goal is to provide a strong conceptual foundation to enable readers to generalize concepts to new research situations. Emphasis is placed on the underlying logic and assumptions of the analysis and what it tells the researcher, the limitations of the analysis, and the consequences of violating assumptions. Sampling, design efficiency, and statistical models are emphasized throughout. As per APA recommendations, emphasis is also placed on data exploration, effect size measures, confidence intervals, and using power analyses to determine sample size. "Real-world" data sets are used to illustrate data exploration, analysis, and interpretation. The book offers a rare blend of the underlying statistical assumptions, the consequences of their violations, and practical advice on dealing with them.

Taylor & Francis

Simplicity, Complexity and Modelling

9780470740026 11.11.2011 Oprawa: twarda

£ 60,00

Philip Dawid

Several points of disagreement exist between different modelling traditions as to whether complex models are always better than simpler models, as to how to combine results from different models and how to propagate model uncertainty into forecasts. This book represents the result of collaboration between scientists from many disciplines to show how these conflicts can be resolved. Key Features: Introduces important concepts in modelling, outlining different traditions in the use of simple and complex modelling in statistics. Provides numerous case studies on complex modelling, such as climate change, flood risk and new drug development. Concentrates on varying models, including flood risk analysis models, the petrol industry forecasts and summarizes the evolution of water distribution systems. Written by experienced statisticians and engineers in order to facilitate communication between modellers in different disciplines. Provides a glossary giving terms commonly used in different modelling traditions. This book provides a much-needed reference guide to approaching statistical modelling.

Wiley

Spatial Statistics and Spatio-Temporal Data

9780470699584 23.11.2010 Oprawa: twarda

£ 62,50

Michael Sherman

In the spatial or spatio-temporal context, specifying the correct covariance function is fundamental to obtain efficient predictions, and to understand the underlying physical process of interest. This book focuses on covariance and variogram functions, their role in prediction, and appropriate choice of these functions in applications. Both recent and more established methods are illustrated to assess many common assumptions on these functions, such as, isotropy, separability, symmetry, and intrinsic correlation. After an extensive introduction to spatial methodology, the book details the effects of common covariance assumptions and addresses methods to assess the appropriateness of such assumptions for various data structures. Key features:* An extensive introduction to spatial methodology including a survey of spatial covariance functions and their use in spatial prediction (kriging) is given.* Explores methodology for assessing the appropriateness of assumptions on covariance functions in the spatial, spatio-temporal, multivariate spatial, and point pattern settings.

Wiley

Spatial Statistics

9781420069761 25.04.2011 Oprawa: twarda

£ 35,99

Mohammed A. Kalkhan

Geospatial information modeling and mapping has become an important tool for the investigation and management of natural resources at the landscape scale. Spatial Statistics: GeoSpatial Information Modeling and Thematic Mapping reviews the types and applications of geospatial information data, such as remote sensing, geographic information systems (GIS), and GPS as well as their integration into landscape-scale geospatial statistical models and maps. The book explores how to extract information from remotely sensed imagery, GIS, and GPS, and how to combine this with field data—vegetation, soil, and environmental—to produce a spatial model that can be reconstructed and displayed using GIS software. Readers learn the requirements and limitations of each geospatial modeling and mapping tool. Case studies with real-life examples illustrate important applications of the models.

Taylor & Francis

Spatio-Temporal Design: Advances in Efficient Data Acquisition

9780470974292 16.11.2012 Oprawa: twarda

£ 65,00

Jorge Mateu

Bridging classic ideas with modern statistical modeling concepts and the latest computational methods, Spatio-temporal Design offers a state-of-the-art account of how to collect space-time data for monitoring. A common problem set is interwoven throughout the chapters, providing various perspectives to illustrate a complete insight to each problem. Motivated by the high demand for statistical analysis of data that takes spatial and spatio-temporal information into account, this book incorporates ideas from the areas of time series, spatial statistics and stochastic processes, and combines them to discuss optimum spatio-temporal sampling design.

Wiley

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Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

9781466560239 05.10.2013 Oprawa: twarda

£ 49,99

Peter Diggle

The first edition of this perennial bestseller broke new ground in the then emerging subject of spatial statistics with its coverage of the statistical analysis of spatial point patterns. Completely revised and updated, the third edition includes discussion of spatio-temporal point patterns, covering the acceleration of methodological development and diversification of application. Reflecting another major development since the publication of the second edition, this edition includes R code and makes the data sets and R code used in the book available on the book's web page.

Taylor & Francis

Statistical Analysis of Stochastic Processes in Time

9781107405325 19.07.2012 Oprawa: miękka

£ 30,00

J.K. Lindsey

This book was first published in 2004. Many observed phenomena, from the changing health of a patient to values on the stock market, are characterised by quantities that vary over time: stochastic processes are designed to study them. This book introduces practical methods of applying stochastic processes to an audience knowledgeable only in basic statistics. It covers almost all aspects of the subject and presents the theory in an easily accessible form that is highlighted by application to many examples. These examples arise from dozens of areas, from sociology through medicine to engineering. Complementing these are exercise sets making the book suited for introductory courses in stochastic processes. Software (available from www.cambridge.org) is provided for the freely available R system for the reader to apply to all the models presented.


Statistical and Managerial Techniques for Six Sigma Methodology

9780470711835 23.02.2012 Oprawa: twarda

£ 55,00

Stefano Barone

Six Sigma methodology is a business management strategy which seeks to improve the quality of process output by identifying and removing the causes of errors and minimizing variability in manufacturing and business processes. This book examines the Six Sigma methodology through illustrating the most widespread tools and techniques involved in Six Sigma application. Both managerial and statistical aspects are analysed allowing the reader to apply these tools in the field. Furthermore, the book offers insight on variation and risk management and focuses on the structure and organizational aspects of Six Sigma projects. Key features: * Presents both statistical and managerial aspects of Six Sigma, covering both basic and more advanced statistical techniques. * Provides clear examples and case studies to illustrate the concepts and methodologies used in Six Sigma. * Written by experienced authors in the field. This textbook is ideal for graduates studying Six Sigma for Black Belt and Green Belt qualifications as well as for engineering and quality management courses. Business consultants and consultancy firms implementing Six Sigma will also benefit from this book.

Wiley

Statistical Disclosure Control

9781119978152 17.08.2012 Oprawa: twarda

£ 60,00

Anco Hundepool

A reference to answer all your statistical confidentiality questions. This handbook provides technical guidance on statistical disclosure control and on how to approach the problem of balancing the need to provide users with statistical outputs and the need to protect the confidentiality of respondents. Statistical disclosure control is combined with other tools such as administrative, legal and IT in order to define a proper data dissemination strategy based on a risk management approach. The key concepts of statistical disclosure control are presented, along with the methodology and software that can be used to apply various methods of statistical disclosure control. Numerous examples and guidelines are also featured to illustrate the topics covered. Statistical Disclosure Control: Presents a combination of both theoretical and practical solutions Introduces all the key concepts and definitions involved with statistical disclosure control. Provides a high level overview of how to approach problems associated with confidentiality. Provides a broad-ranging review of the methods available to control disclosure. Explains the subtleties of group disclosure control.

Wiley

Statistical Distributions

9780470390634 07.01.2011 Oprawa: miękka

£ 46,95

Catherine Forbes

Fully updated to reflect the latest developments on the topic, Statistical Distributions, Fourth Edition continues to serve as an authoritative guide on the application of statistical methods to research across various disciplines. The book provides a concise presentation of popular statistical distributions along with the necessary knowledge for their successful use in data modeling and analysis. Following a basic introduction, forty popular distributions are outlined in individual chapters that are complete with related facts and formulas. Reflecting the latest changes and trends in statistical distribution theory, the Fourth Edition features:

A new chapter on queuing formulas that discusses standard formulas that often arise from simple queuing systems

Methods for extending independent modeling schemes to the dependent case, covering techniques for generating complex distributions from simple distributions

New coverage of conditional probability, including conditional expectations and joint and marginal distributions

Wiley

Statistical Inference for Fractional Diffusion Processes

9780470665688 16.07.2010 Oprawa: twarda

£ 70,00

B. L. S. Prakasa Rao

Stochastic processes are widely used for model building in the social, physical, engineering and life sciences as well as in financial economics. In model building, statistical inference for stochastic processes is of great importance from both a theoretical and an applications point of view. This book deals with Fractional Diffusion Processes and statistical inference for such stochastic processes. The main focus of the book is to consider parametric and nonparametric inference problems for fractional diffusion processes when a complete path of the process over a finite interval is observable. Key features: Introduces self-similar processes, fractional Brownian motion and stochastic integration with respect to fractional Brownian motion. Provides a comprehensive review of statistical inference for processes driven by fractional Brownian motion for modelling long range dependence. Presents a study of parametric and nonparametric inference problems for the fractional diffusion process. Discusses the fractional Brownian sheet and infinite dimensional fractional Brownian motion. Includes recent results and developments in the area of statistical inference of fractional diffusion processes.

Wiley

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Statistical Methods for Fuzzy Data

9780470699454 28.01.2011 Oprawa: twarda

£ 62,50

Reinhard Viertl

Statistical data are not always precise numbers, or vectors, or categories. Real data are frequently what is called fuzzy. Examples where this fuzziness is obvious are quality of life data, environmental, biological, medical, sociological and economics data. Also the results of measurements can be best described by using fuzzy numbers and fuzzy vectors respectively. Statistical analysis methods have to be adapted for the analysis of fuzzy data. In this book, the foundations of the description of fuzzy data are explained, including methods on how to obtain the characterizing function of fuzzy measurement results. Furthermore, statistical methods are then generalized to the analysis of fuzzy data and fuzzy a-priori information. Key Features: Provides basic methods for the mathematical description of fuzzy data, as well as statistical methods that can be used to analyze fuzzy data. Describes methods of increasing importance with applications in areas such as environmental statistics and social science. Complements the theory with exercises and solutions and is illustrated throughout with diagrams and examples.

Wiley

Statistical Methods for Quality Improvement

9780470590744 23.08.2011 Oprawa: twarda

£ 83,50

Thomas P. Ryan

Praise for the Second Edition "As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available." -Technometrics This new edition continues to provide the most current, proven statistical methods for quality control and quality improvement The use of quantitative methods offers numerous benefits in the fields of industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. Statistical Methods for Quality Improvement, Third Edition guides readers through a broad range of tools and techniques that make it possible to quickly identify and resolve both current and potential trouble spots within almost any manufacturing or nonmanufacturing process. The book provides detailed coverage of the application of control charts, while also exploring critical topics such as regression, design of experiments, and Taguchi methods. In this new edition, the author continues to explain how to combine the many statistical methods explored in the book in order to optimize quality control and improvement.

Wiley

Statistical Models and Causal Inference: A Dialogue with the Social

9780521123907 18.02.2010 Oprawa: miękka

£ 25,99

David A. Freedman

David A. Freedman presents here a definitive synthesis of his approach to causal inference in the social sciences. He explores the foundations and limitations of statistical modeling, illustrating basic arguments with examples from political science, public policy, law, and epidemiology. Freedman maintains that many new technical approaches to statistical modeling constitute not progress, but regress. Instead, he advocates a 'shoe leather' methodology, which exploits natural variation to mitigate confounding and relies on intimate knowledge of the subject matter to develop meticulous research designs and eliminate rival explanations. When Freedman first enunciated this position, he was met with scepticism, in part because it was hard to believe that a mathematical statistician of his stature would favor 'low-tech' approaches. But the tide is turning. Many social scientists now agree that statistical technique cannot substitute for good research design and subject matter knowledge. This book offers an integrated presentation of Freedman's views.


Statistical Pattern Recognition

9780470682289 21.10.2011 Oprawa: miękka

£ 55,00

Andrew R. Webb

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition, all require robust and efficient pattern recognition techniques. This third edition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. The book has been updated to cover new methods and applications, and includes a wide range of techniques such as Bayesian methods, neural networks, support vector machines, feature selection and feature reduction techniques.Technical descriptions and motivations are provided, and the techniques are illustrated using real examples.

Wiley

Statistical Principles for the Design of Experiments

9780521862141 13.09.2012 Oprawa: twarda

£ 60,00

Roger Mead

This book is about the statistical principles behind the design of effective experiments and focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis. Emphasising the logical principles of statistical design, rather than mathematical calculation, the authors demonstrate how all available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from real experiments in medicine, industry, agriculture and many experimental disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design can make to an experimental research project. Based on Roger Mead's excellent Design of Experiments, this new edition is thoroughly revised and updated to include modern methods relevant to applications in industry, engineering and modern biology. It also contains seven new chapters on contemporary topics, including restricted randomisation and fractional replication.


Statistical Reasoning for Everyday Life

9780321286727 27.12.2007 Oprawa: twarda

£ 69,99

Jeffrey O. Bennett

Statistical Reasoning for Everyday Life, Third Edition, teaches students how to be better consumers of information by showing the role of statistics in many aspects of everyday life. This text uses real examples and case studies to build an understanding of the core ideas of statistics that can be applied to a variety of subject areas. The authors include data from real sources to help students become better critical thinkers and decision makers, whether they decide to start a new business, plan for their financial future, or just watch the news.

Pearson Education

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Statistics

9780321807281 02.01.2012 Oprawa: twarda

£ 59,99

James T. McClave

Classic, yet contemporary. Theoretical, yet applied. McClave & Sincich's Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data throughout. The authors stress the development of statistical thinking, the assessment of credibility, and value of the inferences made from data. The Twelfth Edition infuses a new focus on ethics, which is critically important when working with statistical data. Chapter Summaries have a new, study-oriented design, helping students stay focused when preparing for exams. Data, exercises, technology support, and Statistics in Action cases are updated throughout the book.

Pearson Education

Statistics for Compensation

9780470943342 19.04.2011 Oprawa: twarda

£ 73,50

John H. Davis

An insightful, hands-on focus on the statistical methods used by compensation and human resources professionals in their everyday work Across various industries, compensation professionals work to organize and analyze aspects of employment that deal with elements of pay, such as deciding base salary, bonus, and commission provided by an employer to its employees for work performed. Acknowledging the numerous quantitative analyses of data that are a part of this everyday work, Statistics for Compensation provides a comprehensive guide to the key statistical tools and techniques needed to perform those analyses and to help organizations make fully informed compensation decisions. This self-contained book is the first of its kind to explore the use of various quantitative methods--from basic notions about percents to multiple linear regression--that are used in the management, design, and implementation of powerful compensation strategies.

Wiley

Statistics for High-dimensional Data

9783642201912 08.06.2011 Oprawa: twarda

€ 89,95

Peter Buhlmann

Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, such as the Lasso and boosting methods. It also provides the mathematical theory behind them, proving their great potential in a large number of settings. Both the methods and theory are then illustrated with real data examples.

Springer

Statistics for K-8 Educators

9780415899895 30.08.2012 Oprawa: miękka

£ 25,99

Robert H. Rosenfeld

This book offers an introduction to descriptive and inferential statistics tailored to the teaching and research needs of K-8 educators. Using statistics to tell a story, veteran teacher educator Robert Rosenfeld pushes readers away from simply performing a calculation to truly understanding the statistical concepts themselves. In addition to helping educators develop this statistical habit of mind, Rosenfeld also focuses on developing an understanding of the statistics in published research and on interpreting school data, which can be applied in school assessment and educational research. Features of this must-read resource include: Numerous exercises and activities throughout that are related specifically to the world of educators and are designed to foster conversation and small group discussion. Connections drawn between statistics and the regular mathematics curriculum to aid teachers who do classroom-based action research. A section covering the basic concepts of standardized tests, such as summative versus formative assessment, and standards-based versus norm-referenced tests.

Taylor & Francis

Statistics for Research

9781849205955 01.01.2011 Oprawa: miękka

£ 30,99

Argyrous

This fully updated edition of Statistics for Research explains statistical concepts in a straight-forward and accessible way using practical examples from a variety of disciplines. If you're looking for an easy-to-read, comprehensive introduction to statistics with a guide to SPSS, this is the book for you! The new edition features:

Clear explanations of all the main techniques of statistical analysis

A brand new student-friendly, easy-to-navigate design

Even more step-by-step screenshots of SPSS commands and outputs

An extensive glossary of terms, ideal for those new to statistics

End of chapter exercises to help you put your learning into practice

A new, fully updated companion website (www.uk.sagepub.com/argyrous3) with comprehensive student and lecturer resources including additional, discipline specific examples and online readings and WebCT/Blackboard quizzes.

SAGE

Statistics from Data to Decision

9780470650974 01.01.2011 Oprawa: miękka

£ 108,00

A E Watkins

Statistics teaches a modern approach that uses graphing calculators or statistical software and allows students and instructors to place more emphasis on statistical concepts and data analysis than on following recipes for calculations. The text is intended to be used as much as a dialog as a reference; students will have to be thoughtful as they read. An activity introduces each major topic, allowing students to experience the major concepts of statistical thinking before going on to confirm them through further analysis (often involving simulation) and practice with data. Statistics gives the design and analysis of both experiments and surveys an honest treatment, rather than forcing them into overly simplistic models. The authors are well known for their work in helping the introductory statistics course evolve into one that emphasizes activity-based learning of statistical concepts while reflecting modern statistical practice. This book is a product of what they have learned from many others who have been actively involved along with them in the MAA's STATS project and Focus Group on Statistics, the ASA's Quantitative Literacy projects, and the College Board's AP Statistics course.

Wiley

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Statistics Tables

9780415563451 04.08.2011 Oprawa: miękka

£ 17,99

H.R. Neave

All the features of the first edition are retained including the full range of best-known standard statistical techniques, as well as some lesser-known methods that can be hard to track down elsewhere. The explanatory introductions to each section have been updated and the Second Edition benefits from the inclusion of a valuable and comprehensive new section on an approach to simple but powerful investigation of process data.

Taylor & Francis

Statistics: Informed Decisions Using Data

9780321818874 14.12.2011 Oprawa: miękka

£ 54,99

Michael Sullivan, III

Michael Sullivan's Statistics: Informed Decisions Using Data, Fourth Edition, connects statistical concepts to students' lives, helping them to think critically, become informed consumers, and make better decisions. Throughout the book, "Putting It Together" features help students visualize the relationships among various statistical concepts. This feature extends to the exercises, providing a consistent vision of the bigger picture of statistics. This book follows the Guidelines for Assessment and Instruction in Statistics Education (GAISE), as recommended by the American Statistical Association, and emphasizes statistical literacy, use of real data and technology, conceptual understanding, and active learning.

Pearson Education

Statistics: Principles and Methods

9780470505779 15.03.2010 Oprawa: miękka

£ 51,99

Richard A. Johnson

Johnson provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters have been updated with real-world data to make the material more relevant. The revised pedagogy will help them contextualize statistical concepts and procedures. The numerous examples clearly demonstrate the important points of the methods. New What Will We Learn opening paragraphs set the stage for the material being discussed. Using Statistics Wisely boxes summarize key lessons. In addition, Statistics in Context sections give business professionals an understanding of applications in which a statistical approach to variation is needed.

Wiley

Statistics: The Art and Science of Learning from Data

9780321805744 01.01.2012 Oprawa: twarda

£ 54,99

Alan Agresti

Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: The Art and Science of Learning from Data, Third Edition, helps students become statistically literate by encouraging them to ask and answer interesting statistical questions. It takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to students without compromising necessary rigor. The Third Edition has been edited for conciseness and clarity to keep students focused on the main concepts. The data-rich examples that feature intriguing human-interest topics now include topic labels to indicate which statistical topic is being applied. New learning objectives for each chapter appear in the Instructor's Edition, making it easier to plan lectures and Chapter 7 (Sampling Distributions) now incorporates simulations in addition to the mathematical formulas.

Pearson Education

Statistics: Unlocking the Power of Data Student Solutions Manual

9780470633182 13.12.2012 Oprawa: miękka

£ 34,95

Robin H. Lock

This book incorporates the use of available technologies and modern methods of data analysis. The text focuses on providing conceptual understanding of the main themes of statistical inference, to provide a more solid grasp of the core ideas of statistics and make it relatively easy to apply those ideas to more theoretical and advanced statistics topics. Furthermore, the text offers cutting edge ideas like randomization and bootstrapping to introduce the fundamental ideas of statistical inference to enhance understanding, make statistics come alive, and deliver improved retention.

Wiley

Stats: Data and Models

9780321753724 01.01.2011 Oprawa: twarda

£ 64,99

Richard D. De Veaux

Stats: Data and Models, Third Edition, will intrigue and challenge students by encouraging them to think statistically and by emphasizing how statistics helps us understand the world. Praised by students and instructors alike for its readability and ease of comprehension, this text focuses on statistical thinking and data analysis. The authors draw from their wealth of consulting experience to craft compelling examples, which encourages students to learn how to reason with data. This book is organized into short chapters that concentrate on one topic at a time, offering instructors maximum flexibility in planning their courses. The text is appropriate for a one-or-two semester introductory statistics course and includes advanced topics, such as Analysis of Variance (ANOVA), Multiple Regression, and Nonparametrics.

Pearson Education

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Stochastic Musings: Perspectives From the Pioneers of the Late 20th Century

9780415651974 14.01.2013 Oprawa: miękka

£ 28,00

John Panaretos

This new edited volume features contributions from many of the leading scientists in probability and statistics from the latter part of the 20th century. It is the only book to assemble the views of these leading scientists--the pioneers in their respective fields. Stochastic Musings will appeal to researchers, professionals, and students interested in the history and development of statistics and probability as well as in related areas, such as physics, biometry, economics, and mathematics. Academic and professional statisticians will benefit from the book's coverage of the latest developments in the field, as well as reflections on the future directions of the discipline.

Taylor & Francis

Study Guide for Basic Practice of Statistics

9781429280006 08.08.2012 Oprawa: miękka

£ 28,99

David S. Moore

The study guide accompanies The Basic Practice of Statistics, 6th edition by Moore, Notz and Fligner.

Palgrave MacMillan

Survival Analysis: Models and Applications

9780470977156 20.07.2012 Oprawa: twarda

£ 60,00

Xian Liu

Survival analysis concerns sequential occurrences of events governed by probabilistic laws. Recent decades have witnessed many applications of survival analysis in various disciplines. This book introduces both classic survival models and theories along with newly developed techniques. Readers will learn how to perform analysis of survival data by following numerous empirical illustrations in SAS. Survival Analysis: Models and Applications: * Presents basic techniques before leading onto some of the most advanced topics in survival analysis.* Assumes only a minimal knowledge of SAS whilst enabling more experienced users to learn new techniques of data input and manipulation.* Provides numerous examples of SAS code to illustrate each of the methods, along with step-by-step instructions to perform each technique.* Highlights the strengths and limitations of each technique covered. Covering a wide scope of survival techniques and methods, from the introductory to the advanced, this book can be used as a useful reference book for planners, researchers, and professors who are working in settings involving various lifetime events.

Wiley

The Association Graph and the Multigraph for Loglinear Models

9781412972383 18.03.2011 Oprawa: miękka

£ 14,99

Harry J. Khamis

Though the graphical model was introduced in 1980, most of the research and application of the methodology in this field has been done by Europeans. The U.S. has lagged somewhat behind; only in recent years has the graphical model appeared in some of the American textbooks on categorical data, and even then the coverage is limited. The purpose of this work is to provide an initial source of reading for someone interested in the topic. This publication distinguishs itself from any other book by including the multigraph representation of LLMs, a natural and very effective extension of the graphical model approach. The book's coverage would extend from the LLM, already covered by Knoke and Burke's SAGE publication, "Log-Linear Models," through the development and application of the multigraph representation in one coherent, comprehensive treatment.

SAGE

The A-Z of Error-free Research

9781439897379 24.08.2012 Oprawa: miękka

£ 31,99

Phillip I. Good

A Practical Guide with Step-by-Step Explanations, Numerous Worked Examples, and R Code The A-Z of Error-Free Research describes the design, analysis, modeling, and reporting of experiments, clinical trials, and surveys. The book shows you when to use statistics, the best ways to cope with variation, and how to design an experiment, determine optimal sample size, and collect useable data. It also helps you choose the best statistical procedures for your application and takes you step by step through model development and reporting results for publication. Transition from Student to Researcher Helping you become a confident researcher, the book begins with an overview of when-and when not-to use statistics. It guides you through the planning and data collection phases and presents various data analysis techniques, including methods for sample size determination. The author then covers techniques for developing models that provide a basis for future research. He also discusses reporting techniques to ensure your research efforts get the proper credit. The book concludes with case-control and cohort studies.

Taylor & Francis

The Cambridge Dictionary of Statistics

9780521766999 19.08.2010 Oprawa: twarda

£ 43,00

B. S. Everitt

If you work with data and need easy access to clear, reliable definitions and explanations of modern statistical and statistics-related concepts, then look no further than this dictionary. Nearly 4000 terms are defined, covering medical, survey, theoretical, and applied statistics, including computational and graphical aspects. Entries are provided for standard and specialized statistical software. In addition, short biographies of over 100 important statisticians are given. Definitions provide enough mathematical detail to clarify concepts and give standard formulae when these are helpful. The majority of definitions then give a reference to a book or article where the user can seek further or more specialized information, and many are accompanied by graphical material to aid understanding.


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The Elements of Statistical Learning

9780387848570 09.02.2009 Oprawa: twarda

€ 69,95

Trevor Hastie

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book.

Springer

The Essentials of Multivariate Data Analysis

9781466584785 06.12.2013 Oprawa: twarda

£ 34,99

Spencer

This text presents an overview of multivariate data analysis suitable for quantitative researchers. Instead of providing mathematical details, it gives readers only the essential information needed to decide which method to use, how to apply it, and how to interpret the results. Each chapter explains how to perform the analysis and how to use the supporting Excel add-in to implement the analysis. A fictional data set is used throughout the book to ensure that all particular aspects of the data analyses can be readily shown.

Taylor & Francis

The Estimation and Tracking of Frequency

9781107412859 17.01.2013 Oprawa: miękka

£ 27,99

B. G. Quinn

Many electronic and acoustic signals can be modelled as sums of sinusoids and noise. However, the amplitudes, phases and frequencies of the sinusoids are often unknown and must be estimated in order to characterise the periodicity or near-periodicity of a signal and consequently to identify its source. This 2001 book presents and analyses several practical techniques used for such estimation. The problem of tracking slow frequency changes over time of a very noisy sinusoid is also considered. Rigorous analyses are presented via asymptotic or large sample theory, together with physical insight. The book focuses on achieving extremely accurate estimates when the signal to noise ratio is low but the sample size is large. Each chapter begins with a detailed overview, and many applications are given. Matlab code for the estimation techniques is also included. The book will thus serve as an excellent introduction and reference for researchers analysing such signals.


The Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements

9780470114940 28.01.2010 Oprawa: twarda

£ 98,95

Mikel J. Harry

In today's business world, Six Sigma, or Lean Six Sigma, is a crucial tool utilized by companies to improve customer satisfaction, increase profitability, and enhance productivity. Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements provides a balanced approach to quantitative and qualitative statistics using Six Sigma and Lean Six Sigma methodologies. Emphasizing applications and the implementation of data analyses as they relate to this strategy for business management, this book introduces readers to the concepts and techniques for solving problems and improving managerial processes using Six Sigma and Lean Six Sigma. Written by knowledgeable professionals working in the field today, the book offers thorough coverage of the statistical topics related to effective Six Sigma and Lean Six Sigma practices, including:

Discrete random variables and continuous random variables

Sampling distributions

Estimation and hypothesis tests

Wiley

Theory of Factorial Design

9781466505575 15.09.2013 Oprawa: twarda

£ 63,99

Ching-Shui Cheng

This self-contained book provides a rigorous, systematic, and up-to-date treatment of the modem theory of factorial design. It includes lots of examples, predominantly from engineering and agriculture, to illustrate the methods. The book incorporates a few exercises in each chapter to enable the book to be used for self-study or for a special topics course. Topics covered include a general theory of multi-stratum factorial design, design key for constructing factorial designs, new construction methods of resolution IV designs, and some results on their structures taken from the literature of projective geometry.

Taylor & Francis

Time Series Analysis and Its Applications

9781441978646 25.11.2010 Oprawa: twarda

€ 89,95

Robert H. Shumway

Time Series Analysis and Its Applications presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty. The book is designed to be useful as a text for graduate level students in the physical, biological and social sciences and as a graduate level text in statistics. Some parts may also serve as an undergraduate introductory course. Theory and methodology are separated to allow presentations on different levels. In addition to coverage of classical methods of time series regression, ARIMA models, spectral analysis and state-space models, the text includes modern developments including categorical time series analysis, multivariate spectral methods, long memory series, nonlinear models, resampling techniques, GARCH models, stochastic volatility, wavelets and Monte Carlo Markov chain integration methods.

Springer

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Time Series Analysis: With Applications in R

9780387759586 05.05.2008 Oprawa: twarda

€ 71,95

Jonathan D. Cryer

This book has been developed for a one-semester course usually attended by students in statistics, economics, business, engineering, and quantitative social sciences. A unique feature of this edition is its integration with the R computing environment. Basic applied statistics is assumed through multiple regression. Calculus is assumed only to the extent of minimizing sums of squares but a calculus-based introduction to statistics is necessary for a thorough understanding of some of the theory. Actual time series data drawn from various disciplines are used throughout the book to illustrate the methodology.

Springer

What is a P-value Anyway? 34 Stories to Help You Actually Understand Statistics

9780321629302 18.11.2009 Oprawa: miękka

£ 22,99

Andrew J. Vickers

What is a p-value Anyway? offers a fun introduction to the fundamental principles of statistics, presenting the essential concepts in thirty-four brief, enjoyable stories. Drawing on his experience as a medical researcher, Vickers blends insightful explanations and humor, with minimal math, to help readers understand and interpret the statistics they read every day. What is a p-value Anyway? is the perfect complement to any introductory statistics textbook and will succeed in demonstrating the everyday importance of statistics to your class.

Pearson Education

Workshop Statistics

9780470547267 28.10.2011 Oprawa: miękka

£ 32,50

Allan J. Rossman

Allan Rossman's 4th Edition of "Workshop Statistics: Discovery with Data," is enhanced from previous issues with more focus and emphasis on collaborative learning. It further requires student observation, and integrates technology for gathering, recording, and synthesizing data. The text offers more flexibility in selecting technology tools for classrooms primarily using technologies other than graphing calculators or "FathomTM Dynamic Data" software. Furthermore, it presents more standards for teaching statistics in an innovative, investigative, and accessible as well as provides in-depth guidance and resources to support active learning of statistics and includes updated real data sets with everyday applications in order to promote statistical literacy.

Wiley

Workshop Statistics

9780470621844 21.01.2010 Oprawa: miękka

£ 16,50

Allan J. Rossman

This book/software package includes Workshops Statistics: Discovery with Data and Minitab, as well as the complete Student Version of the leading statistical software, Minitab, Release 12. This specially priced package will be of interest to students wishing to purchase their own copy of the software.

Wiley

STATYSTYKA

W NAUKACH SPOŁECZNYCH


Statystyka w naukach społecznych

96 www.abe.pl

A Calculus of Ideas: A Mathematical Study of Human Thought

9789814383189 28.09.2012 Oprawa: twarda

£ 59,00

Ulf Grenander

This monograph reports a thought experiment with a mathematical structure intended to illustrate the workings of a mind. It presents a mathematical theory of human thought based on pattern theory with a graph-based approach to thinking. The method illustrated and produced by extensive computer simulations is related to neural networks. Based mainly on introspection, it is speculative rather than empirical such that it differs radically in attitude from the conventional wisdom of current cognitive science.


A Gentle Introduction to Stata

9781597181099 16.04.2012 Oprawa: miękka

£ 49,99

Alan C. Acock

Updated to reflect the new features of Stata 11, A Gentle Introduction to Stata, Third Edition continues to help new Stata users become proficient in Stata. After reading this introductory text, you will be able to enter, build, and manage a data set as well as perform fundamental statistical analyses. New to the Third Edition

A new chapter on the analysis of missing data and the use of multiple-imputation methods

Extensive revision of the chapter on ANOVA

Additional material on the application of power analysis The book covers data management; good work habits, including the use of basic do-files; basic exploratory statistics, including graphical displays; and analyses using the standard array of basic statistical tools, such as correlation, linear and logistic regression, and parametric and nonparametric tests of location and dispersion.

Taylor & Francis

A Primer of Multivariate Statistics

9780415645584 03.03.2013 Oprawa: miękka

£ 28,00

Richard J. Harris

Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis. This edition retains its conversational writing style while focusing on classical techniques. The book gives the reader a feel for why one should consider diving into more detailed treatments of computer-modeling and latent-variable techniques, such as non-recursive path analysis, confirmatory factor analysis, and hierarchical linear modeling. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis.

Taylor & Francis

A Statistical Guide for the Ethically Perplexed

9781439873687 23.10.2012 Oprawa: miękka

£ 31,99

Lawrence J. Hubert

For disciplines concerned with human well-being, such as medicine, psychology, and law, statistics must be used in accordance with standards for ethical practice. A Statistical Guide for the Ethically Perplexed illustrates the proper use of probabilistic and statistical reasoning in the behavioral, social, and biomedical sciences. Designed to be consulted when learning formal statistical techniques, the text describes common instances of both correct and false statistical and probabilistic reasoning. Lauded for their contributions to statistics, psychology, and psychometrics, the authors make statistical methods relevant to readers’ day-to-day lives by including real historical situations that demonstrate the role of statistics in reasoning and decision making. The historical vignettes encompass the English case of Sally Clark, breast cancer screening, risk and gambling, the Federal Rules of Evidence, "high-stakes" testing, regulatory issues in medicine, difficulties with observational studies, ethics in human experiments, health statistics, and much more. In addition to these topics, seven U.S. Supreme Court decisions reflect the influence of statistical and

Taylor & Francis

...

Academic Advancement in Composition Studies

9780415515634 13.12.2011 Oprawa: miękka

£ 28,00

Richard C. Gebhardt

This volume deals with a number of related issues that are becoming increasingly crucial for English studies during this time when most faculty in the field are assistant professors approaching tenure review or associate professors seeking promotion. These critical issues focus on:

The diversity of research and scholarly publication in composition studies;

The fact that composition studies faculty are often evaluated by personnel committee members, department chairs, and deans unfamiliar with the nature and demands of the field;

The way that American higher education is rethinking "scholarship" and the role it plays in the work and evaluation of faculty members; and

The role composition studies faculty can play in this review of scholarship and professional advancement.

Taylor & Francis

Advanced Research Methods in Psychology

9780415653466 22.03.2013 Oprawa: miękka

£ 28,00

David Giles

How do you perform a MANOVA? What is grounded theory? How do you draw up a repertory grid? These, and many other questions are addressed in this wide-ranging handbook of methods and analytic techniques which uniquely covers both quantitative and qualitative methods. Based on a broad survey of undergraduate curricula, the book takes curious readers through all of the methods that are taught on psychology courses worldwide, from advanced ANOVA statistics through regression models to test construction, qualitative research and other more unusual techniques such as Q methodology, meta-analysis and log-linear analysis. Each technique is illustrated by recent examples from the literature. There are also chapters on ethics, significance testing, and writing for publication and research proposals. Advanced Research Methods in Psychology will provide an invaluable resource for advanced undergraduates, postgraduates and researchers who need a readable, contemporary and eclectic reference of advanced methods currently in use in psychological research.

Taylor & Francis


www.abe.pl 97

Advances in Configural Frequency Analysis

9781606237199 05.06.2010 Oprawa: twarda

£ 41,00

Alexander von Eye

Using real-world data examples, this authoritative book shows how to use the latest configural frequency analysis (CFA) techniques to analyze categorical data. Some of the techniques are presented here for the first time. In contrast to such methods as log-linear modeling, which focus on relationships among variables, CFA allows researchers to evaluate differences and change at the level of individual cells in a table. Illustrated are ways to identify and test for cell configurations that are either consistent with or contrary to hypothesized patterns (the types and antitypes of CFA); control for potential covariates that might influence observed results; develop innovative prediction models; address questions of moderation and mediation; and analyze intensive longitudinal data. The book also describes free software applications for executing CFA. This book will be invaluable to researchers and graduate students in psychology, education, management, public health, sociology, and other social, behavioral, and health science disciplines.

Taylor & Francis

Agent-Based Computational Sociology

9780470711743 30.03.2012 Oprawa: twarda

£ 55,00

Flaminio Squazzoni

This book presents an introduction to agent-based computational sociology and the kind of science that is done with agent-based models. The focus is on marking the difference between what is intended for sociology as a science and what is not, emphasizes is given to the idea that the complexity of social phenomena and the peculiarities of complex social systems should not condemn sociology but to embrace qualitative un-formalised historical accounts as the only methods to do research. Cooperation and Social Norms, Social Patterns and Dynamics and Future Prospects and Challenges feature throughout the book along with an accompanying website. The website will feature instructions and codes of the models. The website will also support new functionalities, such as educational programmes, further examples and research announcements. Agent-Based Computational Sociology is written in a common sociological language, along with examples of models that look at all the traditional explanatory challenges of sociology, with focus on epistemological, methodological and substantive issues, by combining theory and examples.

Wiley

An Introduction to Statistical Concepts

9780415880053 04.04.2012 Oprawa: twarda

£ 62,99

Richard G. Lomax

This comprehensive, flexible text is used in both one- and two-semester courses to review introductory through intermediate statistics. Instructors select the topics that are most appropriate for their course. Its conceptual approach helps students more easily understand the concepts and interpret SPSS and research results. Key concepts are simply stated and occasionally reintroduced and related to one another for reinforcement. Numerous examples demonstrate their relevance. This edition features more explanation to increase understanding of the concepts. Only crucial equations are included. In addition to updating throughout, the new edition features: New co-author, Debbie L. Hahs-Vaughn, the 2007 recipient of the University of Central Florida's College of Education Excellence in Graduate Teaching Award. A new chapter on logistic regression models for today's more complex methodologies. More on computing confidence intervals and conducting power analyses using G*Power. Many more SPSS screenshots to assist with understanding how to navigate SPSS and annotated SPSS output to assist in the interpretation of results.

Taylor & Francis

Applied Missing Data Analysis

9781606236390 02.08.2010 Oprawa: twarda

£ 44,00

Craig K. Enders

Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research. Enders explains the rationale and procedural details for maximum likelihood estimation, Bayesian estimation, multiple imputation, and models for handling missing not at random (MNAR) data. Easy-to-follow examples and small simulated data sets illustrate the techniques and clarify the underlying principles. The companion website, www.appliedmissingdata.com, includes data files and syntax for the examples in the book as well as up-to-date information on software. The book is accessible to substantive researchers while providing a level of detail that will satisfy quantitative specialists. This book will appeal to researchers and graduate students in psychology, education, management, family studies, public health, sociology, and political science.

Taylor & Francis

Applied Statistics for Economists

9780415554688 22.09.2011 Oprawa: miękka

£ 34,99

Margaret Lewis

This book is an undergraduate text that introduces students to commonly used statistical methods in economics. Using examples based on contemporary economic issues and readily available data, it not only explains the mechanics of the various methods, but also guides students to connect statistical results to detailed economic interpretations. Because the goal is for students to be able to apply the statistical methods presented, online sources for economic data and directions for performing each task in Excel are also included.

Taylor & Francis

Applied Statistics for the Social and Health Sciences

9780415875363 12.06.2012 Oprawa: twarda

£ 100,00

Rachel A. Gordon

Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with the basic skills that they need to estimate, interpret, present, and publish statistical models using contemporary standards. The book targets the social and health science branches such as human development, public health, sociology, psychology, education, and social work in which students bring a wide range of mathematical skills and have a wide range of methodological affinities. For these students, a successful course in statistics will not only offer statistical content but will also help them develop an appreciation for how statistical techniques might answer some of the research questions of interest to them. This book is for use in a two-semester graduate course sequence covering basic univariate and bivariate statistics and regression models for nominal and ordinal outcomes, in addition to covering ordinary least squares regression. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature thorough integration of teaching statistical theory with teaching data

Taylor & Francis

...


98 www.abe.pl

Approaching Multivariate Analysis: A Practical Introduction

9780415645911 22.03.2013 Oprawa: miękka

£ 28,00

Pat Dugard

This fully updated new edition not only provides an introduction to a range of advanced statistical techniques that are used in psychology, but has been expanded to include new chapters describing methods and examples of particular interest to medical researchers. It takes a very practical approach, aimed at enabling readers to begin using the methods to tackle their own problems. This book provides a non-mathematical introduction to multivariate methods, with an emphasis on helping the reader gain an intuitive understanding of what each method is for, what it does and how it does it. The first chapter briefly reviews the main concepts of univariate and bivariate methods and provides an overview of the multivariate methods that will be discussed, bringing out the relationships among them, and summarising how to recognise what types of problem each of them may be appropriate for tackling. In the remaining chapters, introductions to the methods and important conceptual points are followed by the presentation of typical applications from psychology and medicine, using examples with fabricated data. Instructions on how to do the analyses and how to make sense of the results are fully illustrated

Taylor & Francis

...

Basic Statistics for Social Research

9780470587980 14.12.2012 Oprawa: miękka

£ 55,00

Robert A. Hanneman

Basic Statistics for Social Research teaches core general statistical concepts and methods that all social science majors must master to understand (and do) social research. Its use of mathematics and theory are deliberately limited, as the authors focus on the use of concepts and tools of statistics in the analysis of social science data, rather than on the mathematical and computational aspects. Research questions and applications are taken from a wide variety of subfields in sociology, and each chapter is organized around one or more general ideas that are explained at its beginning and then applied in increasing detail in the body of the text. Each chapter contains instructive features to aid students in understanding and mastering the various statistical approaches presented in the book, including:

Learning objectives

Check quizzes after many sections and an answer key at the end of the chapter

Summary

Key terms

Wiley

Categorical Data Analysis for the Behavioral and Social Sciences

9781848728363 11.01.2011 Oprawa: twarda

£ 41,99

Razia Azen

Featuring a practical approach with numerous examples, this book focuses on helping the reader develop a conceptual, rather than technical, understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analyses and emphasize specific research questions that can be addressed by each analytic procedure so that readers are able to address the research questions they wish to answer. To achieve this goal, the authors: Review the theoretical implications and assumptions underlying each of the procedures Present each concept in general terms and illustrate each with a practical example Demonstrate the analyses using SPSS and SAS and show the interpretation of the results provided by these programs. "A Look Ahead" section at the beginning of each chapter provides an overview of the material covered so that the reader knows what to expect. This is followed by one or more research questions that can be addressed using the procedure(s) covered in the chapter. A theoretical presentation of the material is provided and illustrated using realistic examples from the behavioral and social sciences.

Taylor & Francis

Cognitive Methods in Social Psychology

9781462509133 13.10.2012 Oprawa: miękka

£ 30,99

Karl Christoph Klauer

Researchers are increasingly applying cognitive methods to investigate social psychological phenomena. This book provides a comprehensive introduction to widely used social cognitive methods and offers practical, nuts-and-bolts guidance for implementing them. Leading authorities present attentional paradigms, priming paradigms, and response interference tasks; psychobiological approaches, such as neuroimaging; applications of mathematical models; and other methods. Detailed procedural information helps researchers and students take their first steps in using these state-of-the-art tools. Each chapter is illustrated with recent research examples and includes helpful recommendations for further reading. This book will be important reading for researchers and graduate students in social psychology. It may also serve as a supplemental text in graduate-level courses in social cognition and psychology research methods.

Taylor & Francis

Complex Surveys: A Guide to Analysis Using R

9780470284308 25.03.2010 Oprawa: miękka

£ 48,95

Thomas Lumley

Survey analysis remains the bread-and-butter of sociological research. Highlighting three main areas of interest--calibration estimators, two-phase designs, and fitting of regression models to survey data-- Complex Surveys is the first book to describe the use of R in survey analysis in order to meticulously demonstrate new and efficient analyses of survey research methods in the health and social sciences. Written for applied statisticians and sophisticated users of statistics in the health and social sciences, the text employs large data sets throughout to illustrate the need for, and utility of, the R software system.

Wiley

Data Analysis with Mplus

9781462502455 25.12.2012 Oprawa: miękka

£ 30,99

Christian Geiser

A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to specify different types of models in Mplus syntax and address typical caveats-for example, assessing measurement invariance in longitudinal SEMs. Coverage includes path and factor analytic models as well as mediational, longitudinal, multilevel, and latent class models. Specific programming tips and solution strategies are presented in boxes in each chapter. The companion website features data sets, annotated syntax files, and output for all of the examples. Of special utility to instructors and students, many of the examples can be run with the free demo version of Mplus.

Taylor & Francis


www.abe.pl 99

Designing and Conducting Your First Interview Project

9780470183519 28.05.2010 Oprawa: miękka

£ 30,99

Bruce K. Friesen

Conducting an interview is an essential part of social research data collection, requiring an understanding of the scientific method and its application in the field. Using collaborative, active-learning strategies, Designing and Conducting Your First Interview Project turns what is often the most boring part of a social science class the scientific method into an exciting and engaging experience. In a clear, easy-to-follow style, this workbook teaches students how to conduct the interview, along with how to organize, analyze, and interpret their data.

Wiley

Developmental Evaluation

9781606238721 13.08.2010 Oprawa: miękka

£ 33,99

Michael Quinn Patton

Developmental evaluation (DE) offers a powerful approach to monitoring and supporting social innovations by working in partnership with program decision makers. In this book, eminent authority Michael Quinn Patton shows how to conduct evaluations within a DE framework.

Taylor & Francis

Doing Statistical Mediation and Moderation

9781462508150 25.04.2013 Oprawa: miękka

£ 33,99

Paul E. Jose

Written in a friendly, conversational style, this book offers a hands-on approach to statistical mediation and moderation for both beginning researchers and those familiar with modeling. Starting with a gentle review of regression-based analysis, Paul Jose covers basic mediation and moderation techniques before moving on to advanced topics in multilevel modeling, structural equation modeling, and hybrid combinations, such as moderated mediation. User-friendly features include numerous graphs and carefully worked-through examples; "Helpful Suggestions" about procedures and pitfalls; "Knowledge Boxes" delving into special topics, such as dummy coding; and end-of-chapter exercises and problems (with answers). The companion website provides downloadable sample data sets that are used in the book to demonstrate particular analytic strategies, and explains how researchers and students can execute analyses using Jose's online programs, MedGraph and ModGraph. Appendices present SPSS, AMOS, and Mplus syntax for conducting the key types of analyses.

Taylor & Francis

Evaluation Essentials: From A to Z

9781606238981 28.09.2010 Oprawa: miękka

£ 30,99

Marvin C. Alkin

Written in a refreshing conversational style, this text thoroughly prepares students, program administrators, and new evaluators to conduct evaluations or to use them in their work. The book's question-driven focus and clear discussions about the importance of fostering evaluation use by building collaborative relationships with stakeholders set it apart from other available texts. In 26 concise sections, Marvin C. Alkin explores how to: articulate answerable evaluation questions, collect and analyze data using both quantitative and qualitative methods, and deal with contingencies that might alter the traditional sequence of an evaluation. Student-friendly features include handy bulleted recaps of each section, "Thinking Ahead" and "Next Steps" pointers, cautionary notes, annotated suggestions for further reading, and an in-depth case study that provides the basis for end-of-chapter exercises. This book will be important reading for instructors and graduate students in education, psychology, management, social work, nursing, and public policy; applied researchers who need a refresher on conducting evaluations; educational

Taylor & Francis

...

Evaluation in the Face of Uncertainty

9781606238578 18.09.2010 Oprawa: miękka

£ 27,00

Jonathan A. Morell

Unexpected events during an evaluation all too often send evaluators into crisis mode. This insightful book provides a systematic framework for diagnosing, anticipating, accommodating, and reining in costs of evaluation 'surprises'.

Taylor & Francis

Event History Analysis with R

9781439831649 26.04.2012 Oprawa: twarda

£ 49,99

Goran Brostrom

With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical details to a minimum, the book covers key topics, including both discrete and continuous time data, parametric proportional hazards, and accelerated failure times. Features Introduces parametric proportional hazards models with baseline distributions like the Weibull, Gompertz, Lognormal, and Piecewise constant hazard distributions, in addition to traditional Cox regression Presents mathematical details as well as technical material in an appendix Includes real examples with applications in demography, econometrics, and epidemiology Provides a dedicated R package, eha, containing special treatments, including making cuts in the Lexis diagram, creating communal covariates, and creating period statistics A much-needed primer, Event History Analysis with R is a didactically excellent resource for students and practitioners of applied event history and survival analysis.

Taylor & Francis


100

Experimental Philosophy and Its Critics

9780415505130 14.03.2012 Oprawa: twarda

£ 85,00

Joachim Horvath

Experimental philosophy is one of the most recent and controversial developments in philosophy. Its basic idea is rather simple: to test philosophical thought experiments and philosophers' intuitions about them with scientific methods, mostly taken from psychology and the social sciences. The ensuing experimental results, such as the cultural relativity of certain philosophical intuitions, has engaged -- and at times infuriated -- many more traditionally minded "armchair" philosophers since then. In this volume, the metaphilosophical reflection on experimental philosophy is brought yet another step forward by engaging some of its most renowned proponents and critics in a lively and controversial debate. In addition to that, the volume also contains original experimental research on personal identity and philosophical temperament, as well as state-of-the-art essays on central metaphilosophical issues, like thought experiments, the nature of intuitions, or the status of philosophical expertise. This book was originally published as a special issue of Philosophical Psychology.

Taylor & Francis

Five Ways of Doing Qualitative Analysis

9781609181420 13.05.2011 Oprawa: miękka

£ 36,99

Frederick J. Wertz

This unique text provides a broad introduction to qualitative analysis together with concrete demonstrations and comparisons of five major approaches. Leading scholars apply their respective analytic lenses to a narrative account and interview featuring "Teresa," a young opera singer who experienced a career-changing illness. The resulting analyses vividly exemplify what each approach looks like in action. The researchers then probe the similarities and differences among their approaches; their distinctive purposes and strengths; the role, style, and subjectivity of the individual researcher; and the scientific and ethical complexities of conducting qualitative research. Also included are the research participant's responses to each analysis of her experience. A narrative account from another research participant, "Gail," can be used by readers to practice the kinds of analysis explored in the book. This book will be important reading for graduate students, instructors, and researchers in psychology, education, social work, family studies and human development, sociology, and nursing.

Taylor & Francis

Functional Analytic Psychotherapy

9780415604048 15.03.2012 Oprawa: miękka

£ 12,99

Mavis Tsai

How can I supercharge the therapy I currently use? This volume distils the core principles, methods, and vision of the approach. Each Functional Analytic Psychotherapy (FAP) principle is presented in terms of its intended purpose and is clearly linked to the underlying theory, thus providing clinicians with a straightforward guide for when and how to apply each technique. FAP embraces awareness, courage, and love as integral to the treatment process. Part I of this volume reviews the history of FAP and the basic behavioral principles on which it is based. Part II provides an easy to use step-by-step guide to the application of FAP techniques. FAP is an approach undergoing a renaissance, and this volume uniquely summarizes the full history, theory, and techniques of FAP, resulting in a handbook perfect for clinicians and graduate students with or without a behavioural background.

Taylor & Francis

Handbook of Developmental Research Methods

9781606236093 20.12.2011 Oprawa: twarda

£ 83,99

Brett P. Laursen

This is the first methods handbook specifically designed to meet the needs of today's developmental scholars. Leading developmental methodologists describe cutting-edge approaches to measurement and design, data collection, and interindividual and intraindividual longitudinal analysis. For each method or analytic tool - whether created to measure change or adapted for this purpose - chapters describe key issues, assumptions, and applications. Chapters also include research examples that demonstrate the procedures in action and give readers a better understanding of how to match research questions to developmental methods.

Taylor & Francis

Handbook of Ethics in Quantitative Methodology

9781848728554 18.02.2011 Oprawa: miękka

£ 43,00

Abigail T. Panter

This comprehensive Handbook is the first to provide a practical, interdisciplinary review of ethical issues as they relate to quantitative methodology including how to present evidence for reliability and validity, what comprises an adequate tested population, and what constitutes scientific knowledge for eliminating biases. The book uses an ethical framework that emphasizes the human cost of quantitative decision making to help researchers understand the specific implications of their choices. The order of the Handbook chapters parallels the chronology of the research process: determining the research design and data collection; data analysis; and communicating findings. Each chapter:

Explores the ethics of a particular topic

Identifies prevailing methodological issues

Reviews strategies and approaches for handling such issues and their ethical implications

Provides one or more case examples

Taylor & Francis

Handbook of Implicit Social Cognition

9781606236734 16.07.2010 Oprawa: twarda

£ 57,00

Bertram Gawronski

This tightly edited volume provides the first comprehensive overview of the field. Foremost authorities synthesize the latest findings on how automatic, implicit, and unconscious cognitive processes influence social judgments and behavior.

Taylor & Francis


www.abe.pl 101

Handbook of Nonresponse in Household Surveys

9780470542798 14.01.2011 Oprawa: twarda

£ 100,00

Jelke Bethlehem

A comprehensive, one-stop guide to identifying, reducing, and managing nonresponse in household surveys Nonresponse and its impact on the sample selection mechanism of a survey is a common problem that often arises while collecting survey data. Handbook of Nonresponse in Household Surveys is a complete guide to handling the nonresponse problem, outlining statistical methods and techniques for improving response rates and correcting response data. The authors begin with an introduction to the nonresponse problem along with basic concepts and definitions. Subsequent chapters present current theories and methods that enable survey researchers to skillfully account for nonresponse in their research. Exploring the latest developments in the field, the book also features:

An introduction to the R-indicator as an indicator of survey quality

Discussion of the different causes of nonresponse

Extensive treatment of the selection and use of auxiliary information

Wiley

Handbook of Research Methods for Studying Daily Life

9781609187477 17.12.2011 Oprawa: twarda

£ 83,99

Matthias R. Mehl

Bringing together leading authorities, this unique handbook reviews the breadth of current approaches for studying how people think, feel, and behave in everyday environments, rather than in the laboratory. The volume thoroughly describes experience sampling methods, diary methods, physiological measures, and other self-report and non-self-report tools that allow for repeated, real-time measurement in natural settings. Practical guidance is provided to help the reader design a high-quality study, select and implement appropriate methods, and analyze the resulting data using cutting-edge statistical techniques. Applications across a wide range of psychological subfields and research areas are discussed in detail.

Taylor & Francis

Handbook of Research Methods in Personality Psychology

9781606236123 05.03.2010 Oprawa: miękka

£ 37,99

Richard W. Robins

Bringing together leading investigators, this comprehensive Handbook is a one-stop reference for anyone planning or conducting research on personality.

Taylor & Francis

Handbook of Statistical Data Editing and Imputation

9780470542804 11.03.2011 Oprawa: twarda

£ 100,00

Ton de Waal

A practical, one-stop reference on the theory and applications of statistical data editing and imputation techniques Collected survey data are vulnerable to error. In particular, the data collection stage is a potential source of errors and missing values. As a result, the important role of statistical data editing, and the amount of resources involved, has motivated considerable research efforts to enhance the efficiency and effectiveness of this process. Handbook of Statistical Data Editing and Imputation equips readers with the essential statistical procedures for detecting and correcting inconsistencies and filling in missing values with estimates. The authors supply an easily accessible treatment of the existing methodology in this field, featuring an overview of common errors encountered in practice and techniques for resolving these issues. The book begins with an overview of methods and strategies for statistical data editing and imputation.

Wiley

Handbook of Structural Equation Modeling

9781606230770 20.07.2012 Oprawa: twarda

£ 84,99

Rick H. Hoyle

The first comprehensive structural equation modeling (SEM) Handbook, this accessible volume presents both the mechanics of SEM and specific SEM strategies and applications. The editor, contributors, and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings, from assumptions to model modifications; steps in implementation, from data preparation through writing the SEM report; and basic and advanced applications, including new and emerging topics in SEM. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with readers' data. Many of the chapters also include access to data and syntax files at the companion website, http://www.handbookofsem.com/, allowing readers to try their hands at reproducing the authors' results.

Taylor & Francis

Handbook of Web Surveys

9780470603567 20.12.2011 Oprawa: twarda

£ 100,00

Jelke Bethlehem

Handbook of Web Surveys presents a self-contained guide to methodological issues related to web surveys, covering both theoretical and practical aspects of the topic. The book first approaches the subject of web survey design, addressing the main question: How can an electronic questionnaire be designed such that respondents can complete it on the Internet without introducing (too many) errors? The second portion of the book is devoted to sampling issues and helping readers understanding how proper samples for web surveys can be selected to allow for unbiased estimation of population characteristics. The authors also explore the topics of under-coverage, self-selection, adjustment weighting, and propensity scores as they pertain to effective web survey development. Each chapter follows the same easy-to-follow format. Following an introduction, a description of theory is presented along with key formulae. Next, the discussed theory is applied to a real data set and accompanied with illustrative descriptions. Example sets and exercises are spread throughout each chapter, and a summary provides a brief overview of main points and concepts.

Wiley


102

How to Study Psychology

9781848721067 28.11.2012 Oprawa: miękka

£ 14,99

Warren Davies

Do you want to spend less time studying but end up with better grades, and a deeper understanding of the subject? Studying psychology is a skill that can be learned. In this unique and practical 'how to' guide, Warren Davies offers some simple techniques that will enable students to retain information, organise their workload, and be more productive. By applying some simple and easy-to-make changes to your study habits, you will learn how to: Get more work done in less time Use memory techniques to help you breeze through exams Beat procrastination Develop a deep grasp of difficult topics Write excellent essays (including how to avoid the seven most common essay errors) Cut your study time in half Understand the 'results' section of research papers Write a dissertation to publishable standard. This book is written specifically with psychology undergraduate students in mind, and as such will enhance your learning and improve your grades with techniques that actually work.

Taylor & Francis

IBM SPSS for Intermediate Statistics: Use and Interpretation

9780415880473 07.06.2011 Oprawa: miękka

£ 31,99

Nancy L. Leech

Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design, perform intermediate statistics, including multivariate statistics, interpret output, and write about the results. The book reviews research designs and how to assess the accuracy and reliability of data: whether data meet the assumptions of statistical tests; how to calculate and interpret effect sizes for intermediate statistics, including odds ratios for logistic and discriminant analyses; how to compute and interpret post-hoc power; and an overview of basic statistics for those who need a review. Unique chapters on multilevel linear modeling, multivariate analysis of variance (MANOVA), assessing reliability of data, and factor analysis are provided. SPSS syntax, along with the output, is included for those who prefer this format.

Taylor & Francis

IBM SPSS for Introductory Statistics: Use and Interpretation

9781848729827 14.08.2012 Oprawa: miękka

£ 29,99

George A. Morgan

Designed to help students analyze and interpret research data using IBM SPSS, this user-friendly book, written in easy-to-understand language, shows readers how to choose the appropriate statistic based on the design, and to interpret outputs appropriately. The authors prepare readers for all of the steps in the research process: design, entering and checking data, testing assumptions, assessing reliability and validity, computing descriptive and inferential parametric and nonparametric statistics, and writing about outputs. Dialog windows and SPSS syntax, along with the output, are provided. Three realistic data sets, available on the Internet, are used to solve the chapter problems. The new edition features: Updated to IBM SPSS version 20 but the book can also be used with older and newer versions of SPSS. A new chapter (7) including an introduction to Cronbach's alpha and factor analysis. Updated Web Resources with PowerPoint slides, additional activities/suggestions, and the answers to even-numbered interpretation questions for the instructors, and chapter study guides and outlines and extra SPSS problems for the students.

Taylor & Francis

IBM SPSS Statistics 19 Made Simple

9781848720695 16.08.2011 Oprawa: miękka

£ 26,99

Colin D. Gray

This new edition of one of the most widely read textbooks in its field introduces the reader to data analysis with the most powerful and versatile statistical package on the market: IBM SPSS Statistics 19. Each new release of SPSS Statistics features new options and other improvements. There remains a core of fundamental operating principles and techniques which have continued to apply to all releases issued in recent years and have been proved to be worth communicating in a small volume. This practical and informal book combines simplicity and clarity of presentation with a comprehensive treatment of the use of IBM SPSS Statistics 19 for the description, exploration and confirmation of data. As in earlier editions, coverage has been extended to address the issues raised by readers since the previous edition. In this edition, there is an introduction to the Analysis of Covariance (ANCOVA). Each statistical technique is presented in a realistic research context and is fully illustrated with annotated screen shots of SPSS dialog boxes and output. The first chapter sets the scene with a survey of typical research situations, key terms and clear signposts to the location of each technique in the book.

Taylor & Francis

IBM SPSS Statistics 21 Made Simple

9781848722255 01.11.2013 Oprawa: miękka

£ 28,99

Gray

This new edition of one of the most widely read textbooks in its field introduces the reader to data analysis with the most powerful and versatile statistical package on the market: IBM SPSS Statistics 21. Each new release of SPSS Statistics features new options and other improvements. There remains a core of fundamental operating principles and techniques which have continued to apply to all releases issued in recent years and have been proved to be worth communicating in a small volume. This practical and informal book combines simplicity and clarity of presentation with a comprehensive treatment of the use of IBM SPSS Statistics 21 for the description, exploration and confirmation of data. Each statistical technique is presented in a realistic research context and is fully illustrated with annotated screenshots of SPSS dialog boxes and output. The first chapter sets the scene with a survey of typical research situations, key terms and clear signposts to the location of each technique in the book. It also offers guidance on the choice of statistical techniques, and advice (based on APA guidelines) on

Taylor & Francis

...

Improving Natural Resource Management

9780470661130 25.02.2011 Oprawa: twarda

£ 55,00

Timothy C. Haas

The decision to implement environmental protection options is a political one. These, and other political and social decisions affect the balance of the ecosystem and how the point of equilibrium desired is to be reached. This book develops a stochastic, temporal model of how political processes influence and are influenced by ecosystem processes and looks at how to find the most politically feasible plan for managing an at-risk ecosystem. Finding such a plan is accomplished by first fitting a mechanistic political and ecological model to a data set composed of observations on both political actions that impact an ecosystem and variables that describe the ecosystem. The parameters of this fitted model are perturbed just enough to cause human behaviour to change so that desired ecosystem states occur. This perturbed model gives the ecosystem management plan needed to reach desired ecosystem states. To construct such a set of interacting models, topics from political science, ecology, probability, and statistics are developed and explored. Key features: Explores politically feasible ways to manage at-risk ecosystems. Gives agent-based models of how social groups affect ecosystems through time.

Wiley


www.abe.pl 103

Improving Survey Response

9780470516690 25.03.2010 Oprawa: twarda

£ 57,50

Ineke Stoop

High response rates have traditionally been considered as one of the main indicators of survey quality. Obtaining high response rates is sometimes difficult and expensive, but clearly plays a beneficial role in terms of improving data quality. It is becoming increasingly clear, however, that simply boosting response to achieve a higher response rate will not in itself eradicate nonresponse bias. In this book the authors argue that high response rates should not be seen as a goal in themselves, but rather as part of an overall survey quality strategy based on random probability sampling and aimed at minimising nonresponse bias. Key features of Improving Survey Response:

A detailed coverage of nonresponse issues, including a unique examination of cross-national survey nonresponse processes and outcomes.

A discussion of the potential causes of nonresponse and practical strategies to combat it.

A detailed examination of the impact of nonresponse and of techniques for adjusting for it once it has occurred.

Wiley

Intensive Longitudinal Methods

9781462506781 27.03.2013 Oprawa: twarda

£ 33,99

Niall Bolger

A complete, practical guide to planning and executing an intensive longitudinal study, this book provides the tools for understanding within-subject social, psychological, and physiological processes in everyday contexts. Intensive longitudinal studies involve many repeated measurements taken on individuals, dyads, or groups, and include diary and experience sampling studies. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, model within-subject change processes for continuous and categorical outcomes, distinguish within-subject from between-subjects effects, assess the reliability of within-subject changes, assure sufficient statistical power, and more. Several end-of-chapter write-ups illustrate effective ways to present study findings for publication. Datasets and output for the examples are available for readers' use at the companion website. The website also includes HLM, MLwin, and R code as an alternative to the SPSS, SAS, and Mplus code presented in the book.

Taylor & Francis

Interviewing for Qualitative Inquiry: A Relational Approach

9781462510009 16.05.2013 Oprawa: miękka

£ 18,99

Ruthellen Josselson

Engagingly written, this book builds the reader's skills for conducting in-depth interviews designed to address a particular research question. With an emphasis on the dynamics of the research relationship, Ruthellen Josselson artfully demonstrates the steps of a successful interview. Each step is illustrated with excerpts from interviews on diverse topics. The book describes how to structure interviews effectively, develop questions that elicit meaningful narratives, cultivate skills for empathic listening and responding, avoid common pitfalls, and deal with problems that develop in an interview. Pedagogical features include:

Practice exercises adapted from Josselson's popular workshops

Annotated examples of "good" and "bad" interviews

A chapter on interviewing dos and don'ts

Appendices with interview aids, sample follow-up questions, and a sample consent form.

Taylor & Francis

Invariant Measurement

9780415871259 25.01.2013 Oprawa: miękka

£ 27,99

George Engelhard, Jr.

This introductory text describes the principles of invariant measurement, how invariant measurement can be achieved with Rasch models, and how to use invariant measurement to solve measurement problems in the social, behavioral, and health sciences. Rasch models are used throughout but a comparison of Rasch models to other item response theory (IRT) models is also provided. Written with students in mind, the manuscript was class tested to help maximize accessibility. Chapters open with an introduction and close with a summary and discussion. Numerous examples and exercises demonstrate the main issues addressed in each chapter. Key terms are defined when first introduced and in an end-of-text glossary. All of the book's analyses were conducted with the Facets program. The data sets used in the book, sample syntax files for running the Facets program, Excel files for creating item and person response functions, links to related websites, and other material are available at www.GeorgeEngelhard.com.

Taylor & Francis

Latent Class Analysis of Survey Error

9780470289075 30.12.2010 Oprawa: twarda

£ 63,50

Paul P. Biemer

Combining theoretical, methodological, and practical aspects, Latent Class Analysis of Survey Error successfully guides readers through the accurate interpretation of survey results for quality evaluation and improvement. This book is a comprehensive resource on the key statistical tools and techniques employed during the modeling and estimation of classification errors, featuring a special focus on both latent class analysis (LCA) techniques and models for categorical data from complex sample surveys. Drawing from his extensive experience in the field of survey methodology, the author examines early models for survey measurement error and identifies their similarities and differences as well as their strengths and weaknesses. Subsequent chapters treat topics related to modeling, estimating, and reducing errors in surveys, including:* Measurement error modeling forcategorical data* The Hui-Walter model and othermethods for two indicators* The EM algorithm and its role in latentclass model parameter estimation* Latent class models for three ormore indicators* Techniques for interpretation of modelparameter estimates* Advanced topics in LCA, including sparse data, boundary values, unidentifiability, and local maxima

Wiley

Latent Variable and Latent Structure Models

9780415649612 03.03.2013 Oprawa: miękka

£ 28,00

George A. Marcoulides

This edited volume features cutting-edge topics from the leading researchers in the areas of latent variable modeling. Content highlights include coverage of approaches dealing with missing values, semi-parametric estimation, robust analysis, hierarchical data, factor scores, multi-group analysis, and model testing. New methodological topics are illustrated with real applications. The material presented brings together two traditions: psychometrics and structural equation modeling. Latent Variable and Latent Structure Models' thought-provoking chapters from the leading researchers in the area will help to stimulate ideas for further research for many years to come. This volume will be of interest to researchers and practitioners from a wide variety of disciplines, including biology, business, economics, education, medicine, psychology, sociology, and other social and behavioral sciences. A working knowledge of basic multivariate statistics and measurement theory is assumed.

Taylor & Francis


104

Longitudinal Data Analysis

9780415874151 17.08.2011 Oprawa: miękka

£ 34,99

Jason T. Newsom

This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis. Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design.

Taylor & Francis

Longitudinal Structural Equation Modeling

9781462510160 09.05.2013 Oprawa: twarda

£ 46,99

Todd D. Little

Featuring actual data sets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any repeated-measures study. Initial chapters lay the groundwork for modeling a longitudinal change process, from measurement, design, and specification issues to model evaluation and interpretation. Covering both big-picture ideas and technical "how-to-do-it" details, the author deftly walks through when and how to use longitudinal confirmatory factor analysis, longitudinal panel models (including the multiple-group case), multilevel models, growth curve models, and complex factor models, as well as models for mediation and moderation. User-friendly features include equation boxes that clearly explain the elements in every equation, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website provides data sets for all of the examples-which include studies of bullying, adolescent students' emotions, and healthy aging-with syntax and output from LISREL, Mplus, and R (lavaan).

Taylor & Francis

Making Sense of Statistical Methods in Social Research

9781847872876 25.03.2010 Oprawa: miękka

£ 24,99

Keming Yang

Making Sense of Statistical Methods in Social Research is a critical introduction to the use of statistical methods in social research. It provides a unique approach to statistics that concentrates on helping social researchers think about the conceptual basis for the statistical methods they're using. Whereas other statistical methods books instruct students in how to get through the statistics-based elements of their chosen course with as little mathematical knowledge as possible, this book aims to improve students' statistical literacy, with the ultimate goal of turning them into competent researchers. "Making Sense of Statistical Methods in Social Research" contains careful discussion of the conceptual foundation of statistical methods, specifying what questions they can, or cannot, answer. The logic of each statistical method or procedure is explained, drawing on the historical development of the method, existing publications that apply the method, and methodological discussions. Statistical techniques and procedures are presented not for the purpose of showing how to produce statistics with certain software packages, but as a way of illuminating the underlying logic behind the symbols.

SAGE

Maximum Likelihood Estimation for Sample Surveys

9781584886327 02.05.2012 Oprawa: twarda

£ 49,99

Raymond L. Chambers

Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and standard application of likelihood methods can lead to biased and inefficient estimates. Maximum Likelihood Estimation for Sample Surveys presents an overview of likelihood methods for the analysis of sample survey data that account for the selection methods used, and includes all necessary background material on likelihood inference. It covers a range of data types, including multilevel data, and is illustrated by many worked examples using tractable and widely used models. It also discusses more advanced topics, such as combining data, non-response, and informative sampling. The book presents and develops a likelihood approach for fitting models to sample survey data. It explores and explains how the approach works in tractable though widely used models for which we can make considerable analytic progress.

Taylor & Francis

Measurement and Statistics on Science and Technology

9780415649995 12.09.2012 Oprawa: miękka

£ 28,00

Benoit Godin

How do we objectively measure scientific activities? What proportion of economic activities should a society devote to research and development? How can public-sector and private-sector research best be directed to achieve social goals? Governments and researchers from industrial countries have been measuring science and technology for more than eighty years. This book provides the first comprehensive account of the attempts to measure science and technology activities in Western countries and the successes and shortcomings of statistical systems. Godin guides readers through the historical moments that led to the development of statistics on science and technology and also examines the socio-political dynamics behind social measurement. This enlightening account will be of interest to students and academics investigating science measurement as well as policy makers working in this burgeoning field.

Taylor & Francis

Methods and Applications of Statistics in the Social and Behavioral Sciences

9780470405079 06.11.2012 Oprawa: twarda

£ 130,00

N. Balakrishnan

Based on the multifaceted Encyclopedia of Statistical Sciences, Second Edition , this concise book outlines the statistical concepts and techniques for application that are essential for understanding data gathered from modern research in the social and behavioral sciences. Methods and Applications of Statistics in the Social and Behavioral Sciences combines both previously published and newly developed contributions written by over 100 leading academics, researchers, and practitioner in a comprehensive, approachable format. This succinct reference unveils modern, cutting-edge approaches to acquiring and analyzing data across diverse subjects for students, academics, and researchers.

Wiley


www.abe.pl 105

Modeling Intraindividual Variability With Repeated Measures Data

9780415655613 03.03.2013 Oprawa: miękka

£ 28,00

Scott L. Hershberger

This book examines how individuals behave across time and to what degree that behavior changes, fluctuates, or remains stable. It features the most current methods on modeling repeated measures data as reported by a distinguished group of experts in the field. The goal is to make the latest techniques used to assess intraindividual variability accessible to a wide range of researchers. Each chapter is written in a "user-friendly" style such that even the "novice" data analyst can easily apply the techniques. Each chapter features:

a minimum discussion of mathematical detail;

an empirical example applying the technique; and

a discussion of the software related to that technique.

Taylor & Francis

Models in Statistical Social Research

9780415534215 21.02.2012 Oprawa: miękka

£ 28,00

Gotz Rohwer

Models in Statistical Social Research provides a comprehensive insight of models used in statistical social research based on statistical data and methods. While traditionally understood statistical models relate to data generating processes which presuppose facts, this book focuses on analytical models which relate to substantial processes generating social facts. It formally develops individual-level, population-level, and multilevel versions of such models and uses these models as frameworks for the definition of notions of functional causality. The book further develops a distinction between the representation of states and events, which is then used to formally distinguish between comparative and dynamic notions of causality. It is shown that, due to the involvement of human actors in substantial processes considered in social research, the conceptual framework of randomized experiments is of only limited use. Instead, modelling selection processes should become an explicit task of social research.

Taylor & Francis

Modern Analysis of Customer Surveys: with Applications Using R

9780470971284 06.01.2012 Oprawa: twarda

£ 65,00

Ron Kenett

Customer survey studies deals with customers, consumers and user satisfaction from a product or service. In practice, many of the customer surveys conducted by business and industry are analyzed in a very simple way, without using models or statistical methods. Typical reports include descriptive statistics and basic graphical displays. As demonstrated in this book, integrating such basic analysis with more advanced tools, provides insights on non-obvious patterns and important relationships between the survey variables. This knowledge can significantly affect the conclusions derived from a survey. Key features: Provides an integrated, case-studies based approach to analysing customer survey data. Presents a general introduction to customer surveys, within an organization's business cycle. Contains classical techniques with modern and non standard tools. Focuses on probabilistic techniques from the area of statistics/data analysis and covers all major recent developments. Accompanied by a supporting website containing datasets and R scripts.

Wiley

Modern Statistics for the Social and Behavioral Sciences

9781439834565 14.07.2011 Oprawa: twarda

£ 52,99

Rand R. Wilcox

In addition to learning how to apply classic statistical methods, students need to understand when these methods perform well, and when and why they can be highly unsatisfactory. Modern Statistics for the Social and Behavioral Sciences illustrates how to use R to apply both standard and modern methods to correct known problems with classic techniques. Numerous illustrations provide a conceptual basis for understanding why practical problems with classic methods were missed for so many years, and why modern techniques have practical value. Designed for a two-semester, introductory course for graduate students in the social sciences, this text introduces three major advances in the field: Early studies seemed to suggest that normality can be assumed with relatively small sample sizes due to the central limit theorem. However, crucial issues were missed. Vastly improved methods are now available for dealing with non-normality. The impact of outliers and heavy-tailed distributions on power and our ability to obtain an accurate assessment of how groups differ and variables are related is a practical concern when using standard techniques, regardless of how large the sample size might

Taylor & Francis

...

Multilevel Analysis: Techniques and Applications

9781848728462 24.05.2010 Oprawa: miękka

£ 31,99

Joop J. Hox

This practical introduction helps readers apply multilevel techniques to their research. Noted as an accessible introduction, the book also includes advanced extensions, making it useful as both an introduction and as a reference to students, researchers, and methodologists. Basic models and examples are discussed in non-technical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines. For example, readers will find data sets on stress in hospitals, GPA scores, survey responses, street safety, epilepsy, divorce, and sociometric scores, to name a few. The data sets are available on the website in SPSS, HLM, MLwiN, LISREL and/or Mplus files. Readers are introduced to both the multilevel regression model and multilevel structural models. Highlights of the second edition include: Two new chapters-one on multilevel models for ordinal and count data (Ch. 7) and another on multilevel survival analysis (Ch. 8).

Taylor & Francis

Multilevel and Longitudinal Modeling with IBM SPSS

9780415817110 03.09.2013 Oprawa: miękka

£ 28,99

Ronald H. Heck

This book demonstrates how to use multilevel and longitudinal modeling techniques available in the IBM SPSS mixed-effects program (MIXED). Annotated screen shots provide readers with a step-by-step understanding of each technique and navigating the program. Readers learn how to set up, run, and interpret a variety of models. Diagnostic tools, data management issues, and related graphics are introduced throughout. Annotated syntax is also available for those who prefer this approach. Extended examples illustrate the logic of model development to show readers the rationale of the research questions and the steps around which the analyses are structured. The data used in the text and syntax examples are available at www.routledge.com/9780415817110.aa a Highlights of the new edition include: Updated throughout to reflect IBM SPSS Version 20. Further coverage of growth trajectories, coding time-related variables, covariance structures, individual change and longitudinal experimental designs (Ch.5). Extended discussion of other types of research designs for examining change (e.g., regression discontinuity, quasi-experimental) over time (Ch.6).

Taylor & Francis


106

Multilevel and Longitudinal Modeling with PASW / SPSS

9781848728639 20.05.2010 Oprawa: miękka

£ 28,99

Ronald H. Heck

This is the first book to demonstrate how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Version 18. The authors tap the power of SPSS' Mixed Models routine to provide an elegant and accessible approach to these models. Readers who have learned statistics using this software will no longer have to adapt to a new program to conduct quality multilevel and longitudinal analyses. Annotated screen shots with all of the key output provide readers with a step-by-step understanding of each technique as they are shown how to navigate through the program. Diagnostic tools, data management issues, and related graphics are introduced throughout. SPSS commands show the flow of the menu structure and how to facilitate model building. Annotated syntax is also available for those who prefer this approach. Most chapters feature an extended example illustrating the logic of model development. These examples show readers the context and rationale of the research questions and the steps around which the analyses are structured. The data used in the text and syntax examples are available at website.

Taylor & Francis

Multivariate Analysis for the Biobehavioral and Social Sciences

9780470537565 24.01.2012 Oprawa: twarda

£ 66,95

Bruce L. Brown

An insightful guide to understanding and visualizing multivariate statistics using SAS(r), STATA(r), and SPSS(r) Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach outlines the essential multivariate methods for understanding data in the social and biobehavioral sciences. Using real-world data and the latest software applications, the book addresses the topic in a comprehensible and hands-on manner, making complex mathematical concepts accessible to readers. The authors promote the importance of clear, well-designed graphics in the scientific process, with visual representations accompanying the presented classical multivariate statistical methods . The book begins with a preparatory review of univariate statistical methods recast in matrix notation, followed by an accessible introduction to matrix algebra. Subsequent chapters explore fundamental multivariate methods and related key concepts, including: * Factor analysis and related methods * Multivariate graphics * Canonical correlation * Hotelling's T-squared * Multivariate analysis of variance (MANOVA)

Wiley

New Developments in Categorical Data Analysis for the Social and Behavioral Sciences

9780415650427 03.03.2013 Oprawa: miękka

£ 28,00

L. Andries van der Ark

Categorical data are quantified as either nominal variables--distinguishing different groups, for example, based on socio-economic status, education, and political persuasion--or ordinal variables--distinguishing levels of interest, such as the preferred politician or the preferred type of punishment for committing burglary. This new book is a collection of up-to-date studies on modern categorical data analysis methods, emphasizing their application to relevant and interesting data sets. This volume concentrates on latent class analysis and item response theory. These methods use latent variables to explain the relationships among observed categorical variables. Latent class analysis yields the classification of a group of respondents according to their pattern of scores on the categorical variables. This provides insight into the mechanisms producing the data and allows the estimation of factor structures and regression models conditional on the latent class structure. Item response theory leads to the identification of one or more ordinal or interval scales. In psychological and educational testing these scales are used for individual measurement of abilities and personality traits.

Taylor & Francis

Nonparametric Statistics for Social and Behavioral Sciences

9781466507609 06.12.2013 Oprawa: twarda

£ 57,99

Kraska-Miller

This textbook covers concepts, principles, and procedures used in performing nonparametric statistical procedures. The subject is covered using explanations, demonstrations, examples, and exercises. SPSS screen shots are used to demonstrate steps of the procedures and offer explanations and interpretations of results. The academic level is for upper undergraduates and for graduate students.

Taylor & Francis

Primer of Public Relations Research

9781593855956 15.09.2010 Oprawa: twarda

£ 37,00

Don W. Stacks

This practical, comprehensive work is widely regarded as the standard course text and practitioner reference on public relations research. Don W. Stacks explains the key role of research in all aspects of contemporary PR practice, from planning a program or campaign to making strategic changes and measuring outcomes. Step-by-step guidelines and tools are provided for using a wide range of qualitative and quantitative methods to accomplish essential research objectives. The book clearly explains technical aspects of data collection and analysis for readers new to measurement and statistics. Every chapter features review questions and a detailed practice problem. New to This Edition:

Thoroughly updated to reflect the growth of social media and other technological changes

Expanded coverage of measuring return on investment (ROI)

Restructured based on classroom experience: learning statistical concepts first will help students master the methods

Taylor & Francis

Principles and Practice of Structural Equation Modeling

9781606238769 07.09.2010 Oprawa: miękka

£ 37,99

Rex B. Kline

This bestselling text provides a balance between the technical and practical aspects of structural equation modeling (SEM). Using clear and accessible language, Rex B. Kline covers core techniques, potential pitfalls, and applications across the behavioral and social sciences. Some more advanced topics are also covered, including estimation of interactive effects of latent variables and multilevel SEM. The companion Web page offers downloadable syntax, data, and output files for each detailed example for EQS, LISREL, and Mplus, allowing readers to view the results of the same analysis generated by three different computer tools. New to This Edition:

thoroughly revised and restructured to follow the phases of most SEM analyses

syntax, data, and output files for all detailed research examples are now provided online

exercises with answers, which support self-study

topic boxes on specialized issues, such as dealing with problems in the analysis; the assessment of construct measurement reliability; and more

Taylor & Francis


www.abe.pl 107

Program Evaluation Theory and Practice

9781462503155 12.04.2012 Oprawa: miękka

£ 50,99

Donna M. Mertens

This engaging text takes an evenhanded approach to major theoretical paradigms in evaluation and builds a bridge from them to evaluation practice. Featuring helpful checklists, procedural steps, provocative questions that invite readers to explore their own theoretical assumptions, and practical exercises, the book provides concrete guidance for conducting large- and small-scale evaluations. Numerous sample studies – many with reflective commentary from the evaluators – reveal the process through which an evaluator incorporates a paradigm into an actual research project. The book shows how theory informs methodological choices (the specifics of planning, implementing, and using evaluations). It offers balanced coverage of quantitative, qualitative, and mixed methods approaches. Useful pedagogical features include:

Examples of large- and small-scale evaluations from multiple disciplines

Beginning-of-chapter reflection questions that set the stage for the material covered

Taylor & Francis

Psychophysiological Measurement and Meaning

9780415994149 27.09.2011 Oprawa: miękka

£ 34,99

Robert F. Potter

This research volume serves as a comprehensive resource for psychophysiological research on media responses. It addresses the theoretical underpinnings, methodological techniques, and most recent research in this area. It goes beyond current volumes by placing the research techniques within a context of communication processes and effects as a field, and demonstrating how the real-time measurement of physiological responses enhances and complements more traditional measures of psychological effects from media. This volume introduces readers to the theoretical assumptions of psychophysiology as well as the operational details of collecting psychophysiological data. In addition to discussing specific measures, it includes brief reviews of recent experiments that have used psychophysiological measures to study how the brain processes media. It will serve as a valuable reference for media researchers utilizing these methodologies, or for other researchers needing to understand the theories, history, and methods of psychophysiological research.

Taylor & Francis

Qualitative Research from Start to Finish

9781606237014 12.11.2010 Oprawa: miękka

£ 34,00

Robert K. Yin

This lively, practical text presents a fresh and comprehensive approach to doing qualitative research. The book offers a unique balance of theory and clear-cut choices for customizing every phase of a qualitative study. A scholarly mix of classic and contemporary studies from multiple disciplines provides compelling, field-based examples of the full range of qualitative approaches. Readers learn about adaptive ways of designing studies, collecting data, analyzing data, and reporting findings. Key aspects of the researcher's craft are addressed, such as fieldwork options, the five phases of data analysis (with and without using computer-based software), and how to incorporate the researcher's "declarative" and "reflective" selves into a final report. Ideal for graduate-level courses, the text includes:

Discussions of ethnography, grounded theory, phenomenology, feminist research, and other approaches

Instructions for creating a study bank to get a new study started

End-of-chapter exercises and a semester-long, field-based project

Quick study boxes, research vignettes, sample studies, and a glossary

Taylor & Francis

Quantitative Data Analysis with IBM SPSS 17, 18 & 19: A Guide for Social

9780415579193 12.05.2011 Oprawa: miękka

£ 26,99

Alan Bryman

This latest edition has been fully updated to accommodate the needs of users of SPSS Releases 17, 18 and 19 while still being applicable to users of SPSS Releases 15 and 16. As with previous editions, Alan Bryman and Duncan Cramer continue to offer a comprehensive and user-friendly introduction to the widely used IBM SPSS Statistics. The simple, non-technical approach to quantitative data analysis enables the reader to quickly become familiar with SPSS and with the tests available to them. No previous experience of statistics or computing is required as this book provides a step-by-step guide to statistical techniques, including: Non-parametric tests Correlation Simple and multiple regression Analysis of variance and covariance Factor analysis. This book comes equipped with a comprehensive range of exercises for further practice, and it covers key issues such as sampling, statistical inference, conceptualization and measurement and selection of appropriate tests. The authors have also included a helpful glossary of key terms.

Taylor & Francis

Question Evaluation Methods: Contributing to the Science of Data

9780470769485 12.08.2011 Oprawa: miękka

£ 53,50

Kristen Miller

Insightful observations on common question evaluation methods and best practices for data collection in survey research Featuring contributions from leading researchers and academicians in the field of survey research, Question Evaluation Methods: Contributing to the Science of Data Quality sheds light on question response error and introduces an interdisciplinary, cross-method approach that is essential for advancing knowledge about data quality and ensuring the credibility of conclusions drawn from surveys and censuses. Offering a variety of expert analyses of question evaluation methods, the book provides recommendations and best practices for researchers working with data in the health and social sciences. Based on a workshop held at the National Center for Health Statistics (NCHS), this book presents and compares various question evaluation methods that are used in modern-day data collection and analysis. Each section includes an introduction to a method by a leading authority in the field, followed by responses from other experts that outline related strengths, weaknesses, and underlying assumptions.

Wiley

Regression Analysis for the Social Sciences

9780415991544 31.03.2010 Oprawa: twarda

£ 100,00

Rachel A. Gordon

The book provides graduate students in the social sciences with the basic skills that they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature. thorough integration of teaching statistical theory with teaching data processing and analysis. teaching of both SAS and Stata "side-by-side" and use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set. This book is for a one-semester course.

Taylor & Francis


108

Sampling

9780470402313 30.03.2012 Oprawa: twarda

£ 76,95

Steven K. Thompson

Sampling provides an up-to-date treatment of both classical and modern sampling design and estimation methods, along with sampling methods for rare, clustered, and hard-to-detect populations. This Third Edition retains the general organization of the two previous editions, but incorporates extensive new material—sections, exercises, and examples—throughout. Inside, readers will find all-new approaches to explain the various techniques in the book; new figures to assist in better visualizing and comprehending underlying concepts such as the different sampling strategies; computing notes for sample selection, calculation of estimates, and simulations; and more. Organized into six sections, the book covers basic sampling, from simple random to unequal probability sampling; the use of auxiliary data with ratio and regression estimation; sufficient data, model, and design in practical sampling; useful designs such as stratified, cluster and systematic, multistage, double and network sampling; detectability methods for elusive populations; spatial sampling; and adaptive sampling designs.

Wiley

Secrecy and Silence in the Research Process

9780415605175 30.09.2010 Oprawa: miękka

£ 28,00

Roisin Ryan-Flood

Feminist research is informed by a history of breaking silences, of demanding that women's voices be heard, recorded and included in wider intellectual genealogies and histories. This has led to an emphasis on voice and speaking out in the research endeavour. Moments of secrecy and silence are less often addressed. This gives rise to a number of questions. What are the silences, secrets, omissions and and political consequences of such moments? What particular dilemmas and constraints do they represent or entail? What are their implications for research praxis? Are such moments always indicative of voicelessness or powerlessness? Or may they also constitute a productive moment in the research encounter? Contributors to this volume were invited to reflect on these questions. The resulting chapters are a fascinating collection of insights into the research process, making an important contribution to theoretical and empirical debates about epistemology, subjectivity and identity in research. Researchers often face difficult dilemmas about who to represent and how, what to omit and what to include.

Taylor & Francis

Social Statistics: The Basics and Beyond

9780415805018 18.01.2011 Oprawa: twarda

£ 84,00

Thomas J. Linneman

With just the right level of detail, and a graphically innovative approach, this book carefully guides students through the statistical techniques they will encounter in the real world. The basics are covered in a non-intimidating way for your students, plus multiple regression, interaction effects, logistic regression, non-linear effects. The book uses three datasets throughout: General Social Survey, American National Election Studies, World Values Survey, and includes SPSS demonstrations at the end of each chapter. Most of your students will likely take only one stats course and use only one stats book in their college careers. This one innovatively equips them for their worlds ahead, regardless of the career paths they follow.

Taylor & Francis

Statistical Approaches to Measurement Invariance

9781848728196 13.05.2011 Oprawa: miękka

£ 26,99

Roger E. Millsap

This book reviews the statistical procedures used to detect measurement bias. Measurement bias is examined from a general latent variable perspective so as to accommodate different forms of testing in a variety of contexts including cognitive or clinical variables, attitudes, personality dimensions, or emotional states. Measurement models that underlie psychometric practice are described, including their strengths and limitations. Practical strategies and examples for dealing with bias detection are provided throughout. The book begins with an introduction to the general topic, followed by a review of the measurement models used in psychometric theory. Emphasis is placed on latent variable models, with introductions to classical test theory, factor analysis, and item response theory, and the controversies associated with each, being provided. Measurement invariance and bias in the context of multiple populations is defined in chapter 3 followed by chapter 4 that describes the common factor model for continuous measures in multiple populations and its use in the investigation of factorial invariance. Identification problems in confirmatory factor analysis are examined along with

Taylor & Francis

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Statistical Concepts: A Second Course

9780415880077 04.04.2012 Oprawa: miękka

£ 47,99

Richard G. Lomax

Statistical Concepts consists of the last 9 chapters of An Introduction to Statistical Concepts, 3rd ed. Designed for the second course in statistics, it is one of the few texts that focuses just on intermediate statistics. The book highlights how statistics work and what they mean to better prepare students to analyze their own data and interpret SPSS and research results. As such it offers more coverage of non-parametric procedures used when standard assumptions are violated since these methods are more frequently encountered when working with real data. Determining appropriate sample sizes is emphasized throughout. Only crucial equations are included. The new edition features: New co-author, Debbie L. Hahs-Vaughn, the 2007 recipient of the University of Central Florida's College of Education Excellence in Graduate Teaching Award. A new chapter on logistic regression models for today's more complex methodologies. Much more on computing confidence intervals and conducting power analyses using G*Power. All new SPSS version 19 screenshots to help navigate through the program and annotated output to assist in the interpretation of results.

Taylor & Francis

Statistical Methods with Applications to Demography and Life Insurance

9781466505735 12.04.2013 Oprawa: twarda

£ 49,99

Estate V. Khmaladze

Suitable for statisticians, mathematicians, actuaries, and students interested in the problems of insurance and analysis of lifetimes, Statistical Methods with Applications to Demography and Life Insurance presents contemporary statistical techniques for analyzing life distributions and life insurance problems. It not only contains traditional material but also incorporates new problems and techniques not discussed in existing actuarial literature. The book mainly focuses on the analysis of an individual life and describes statistical methods based on empirical and related processes. Coverage ranges from analyzing the tails of distributions of lifetimes to modeling population dynamics with migrations. To help readers understand the technical points, the text covers topics such as the Stieltjes, Wiener, and Ito integrals. It also introduces other themes of interest in demography, including mixtures of distributions, analysis of longevity and extreme value theory, and the age structure of a population. In addition, the author discusses net premiums for various insurance policies. Mathematical statements are carefully and clearly formulated and proved while avoiding excessive technicalities as much as possible.

Taylor & Francis


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Statistical Power Analysis for the Social and Behavioral Sciences

9781848729810 12.11.2013 Oprawa: miękka

£ 26,99

Xiaofeng Steven Liu

Subjects 1. Power Analysis & Effect Sizes 2. Quantitative Methods 3. Research Methods in Education 4. Quantitative Methods 5. Introductory & Intermediate Statistics

Taylor & Francis

Statistics and the Public Sphere

9780415878944 21.04.2011 Oprawa: twarda

£ 85,00

Tom Crook

Contemporary public life in Britain would be unthinkable without the use of statistics and statistical reasoning. Numbers dominate political discussion, facilitating debate while also attracting criticism on the grounds of their veracity and utility. However, the historical role and place of statistics within Britain’s public sphere has yet to receive the attention it deserves. There exist numerous histories of both modern statistical reasoning and the modern public sphere; but to date, there are no works which, quite pointedly, aim to analyse the historical entanglement of the two. Statistics and the Public Sphere: Numbers and the People in Modern Britain, c.1800-2000 directly addresses this neglected area of historiography, and in so doing places the present in some much needed historical perspective.

Taylor & Francis

Statistics for Psychologists: An Intermediate Course

9780415651967 03.03.2013 Oprawa: miękka

£ 28,00

Brian S. Everitt

Built around a problem solving theme, this book extends the intermediate and advanced student's expertise to more challenging situations that involve applying statistical methods to real-world problems. Data relevant to these problems are collected and analyzed to provide useful answers. Building on its central problem-solving theme, a large number of data sets arising from real problems are contained in the text and in the exercises provided at the end of each chapter. Answers, or hints to providing answers, are provided in an appendix. Concentrating largely on the established SPSS and the newer S-Plus statistical packages, the author provides a short, end-of-chapter section entitled Computer Hints that helps the student undertake the analyses reported in the chapter using these statistical packages.

Taylor & Francis

Statistics for Sensory and Consumer Science

9780470518212 18.06.2010 Oprawa: twarda

£ 85,00

Tormod Nas

This book by a group of established scientists gives a comprehensive, up-to-date overview of the most common statistical methods for handling data from both trained sensory panels and consumer studies of food. It presents the topic in two distinct sections: problem-orientated (Part I) and method orientated (Part II), making it to appropriate for people at different levels with respect to their statistical skills. This text is an excellent resource for food scientists and food engineers working in research and industry, as well as food science students at the master and PhD level. In addition, applied statisticians with special interest in food science will also find relevant information within the book.

Wiley

Statistics for Sport and Exercise Studies

9780415595575 29.03.2012 Oprawa: miękka

£ 29,99

Peter O'Donoghue

Statistics for Sport and Exercise Studies guides the student through the full research process, from selecting the most appropriate statistical procedure, to analysing data, to the presentation of results, illustrating every key step in the process with clear examples, case-studies and data taken from real sport and exercise settings. Every chapter includes a range of features designed to help the student grasp the underlying concepts and relate each statistical procedure to their own research project, including definitions of key terms, practical exercises, worked examples and clear summaries. The book also offers an in-depth and practical guide to using SPSS in sport and exercise research, the most commonly used data analysis software in sport and exercise departments. In addition, a companion website includes more than 100 downloadable data sets and work sheets for use in or out of the classroom, full solutions to exercises contained in the book, plus over 1,300 PowerPoint slides for use by tutors and lecturers. Statistics for Sport and Exercise Studies is a complete, user-friendly introduction to the use of statistical tests, techniques and procedures in sport, exercise and related subjects.

Taylor & Francis

Statistics in Plain English

9780415872911 05.07.2010 Oprawa: miękka

£ 24,99

Timothy C. Urdan

This inexpensive paperback provides a brief, simple overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. Each chapter describes a different statistical technique, ranging from basic concepts like central tendency and describing distributions to more advanced concepts such as t tests, regression, repeated measures ANOVA, and factor analysis. Each chapter begins with a short description of the statistic and when it should be used. This is followed by a more in-depth explanation of how the statistic works. Finally, each chapter ends with an example of the statistic in use, and a sample of how the results of analyses using the statistic might be written up for publication. A glossary of statistical terms and symbols is also included. New features in the third edition include:

a new chapter on Factor and Reliability Analysis especially helpful to those who do and/or read survey research,

new "Writing it Up" sections demonstrate how to write about and interpret statistics seen in books and journals,

Taylor & Francis


110

Statistics in Psychology Using R and SPSS

9780470971246 09.12.2011 Oprawa: twarda

£ 55,00

Dieter Rasch

Statistics in Psychology covers all statistical methods needed in education and research in psychology. This book looks at research questions when planning data sampling, that is to design the intended study and to calculate the sample sizes in advance. In other words, no analysis applies if the minimum size is not determined in order to fulfil certain precision requirements. The book looks at the process of empirical research into the following seven stages: Formulation of the problem Stipulation of the precision requirements Selecting the statistical model for the planning and analysis The (optimal) design of the experiment or survey Performing the experiment or the survey Statistical analysis of the observed results Interpretation of the results.

Wiley

Statistics in the Social Sciences

9780470148747 05.03.2010 Oprawa: twarda

£ 59,50

Stanislav Kolenikov

Fashioned after the 2006 Winemiller Symposium on Recent Advances in Social Science Statistics, and bringing together top researchers from around the world, this book provides overviews of the most important advanced techniques in the social sciences, including latent variable models, multilevel models, social networks, missing data techniques, educational measurement, cluster analysis, and treatment effects. The aim of the book is to foster collaboration among mathematical statisticians and quantitatively oriented social science researchers and to highlight the interface between developments in each area.

Wiley

Statistics Translated

9781462503018 03.05.2012 Oprawa: miękka

£ 36,99

Steven R. Terrell

Written in a humorous and encouraging style, this text shows how the most common statistical tools can be used to answer interesting real-world questions, presented as mysteries to be solved. Engaging research examples lead the reader through a series of six steps, from identifying a researchable problem to stating a hypothesis, identifying independent and dependent variables, and selecting and interpreting appropriate statistical tests. All techniques are demonstrated both manually and with the help of SPSS software. The book provides students and others who may need to read and interpret statistically based research with the essential knowledge and skills needed to make decisions based on data. Useful pedagogical features include:

Checklists of key words and formulas in every chapter

Examples of SPSS screenshots used for analyzing data

Cautionary notes plus "putting it all together" section recaps

End-of-chapter self-quizzes (with full answers and explanations)

Taylor & Francis

Structural Equation Modeling with MPlus

9781848728394 01.01.2010 Oprawa: miękka

£ 29,99

Barbara M. Byrne

Modeled after Barbara Byrne's other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author "walks" the reader through all steps involved in testing the SEM model including: an explanation of the issues addressed illustrated and annotated testing of the hypothesized and post hoc models explanation and interpretation of all Mplus input and output files important caveats pertinent to the SEM application under study a description of the data and reference upon which the model was based the corresponding data and syntax files available at http://www.psypress.com/sem-with-mplus/datasets . The first two chapters introduce the fundamental concepts of SEM and important basics of the Mplus program.

Taylor & Francis

Structural Equation Modeling

9781119978299 14.09.2012 Oprawa: twarda

£ 65,00

Jichuan Wang

A reference guide for applications of SEM using M plus Structural Equation Modeling: Applications Using M plus is intended as both a teaching resource and a reference guide. Written in non-mathematical terms, this book focuses on the conceptual and practical aspects of Structural Equation Modeling (SEM). Basic concepts and examples of various SEM models are demonstrated along with recently developed advanced methods, such as mixture modeling and model-based power analysis and sample size estimate for SEM. The statistical modeling program, M plus , is also featured and provides researchers with a flexible tool to analyze their data with an easy-to-use interface and graphical displays of data and analysis results. Key features: Presents a useful reference guide for applications of SEM whilst systematically demonstrating various advanced SEM models, such as multi-group and mixture models using M plus . Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes.

Wiley

Survey Methods in Multicultural, Multinational, and Multiregional Contexts

9780470177990 28.05.2010 Oprawa: miękka

£ 56,50

Janet A. Harkness

Written and edited by experts in the fields, S urvey Methods in Multicultural, Multinational, and Multiregional Contexts provides an overview of comparative multinational, multiregional, and multicultural issues in survey methodology. Part of the Wiley Series in Survey Methodology, this volume explores the issue of quality in multipopulation surveys and the level of methodological expertise in comparative survey research. The text, including models of design, multilingual issues, and more on developing countries, is fundamental for statisticians, researchers, and students interested in design and implementation of international, national, and cultural comparative surveys.

Wiley


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Surveying Cultures

9780470479070 28.01.2010 Oprawa: twarda

£ 59,50

David R. Heise

Surveying Cultures uniquely employs techniques rooted in survey methodology to discover cultural patterns in social science research. Examining both classical and emerging methods that are used to survey and assess differing norms among populations, the book successfully breaks new ground in the field, introducing a theory of measurement for ethnographic studies that employs the consensus-as-culture model. The book begins with a basic overview of cross-cultural measurement of sentiments and presents innovative and sophisticated analyses of measurement issues and of homogeneity among respondents. Subsequent chapters explore topics that are at the core of successful data collection and analysis in culture studies, including:

The role of bipolar scales and Internet data collection in measuring sentiments

Key methodological variables that determine the quality of quantitative data, including measurement errors, validity, and reliability

New approaches to reliability and several new methods of assessing a respondent's degree of inculcation into group culture

Wiley

The Mutual Construction of Statistics and Society

9780415811057 06.09.2012 Oprawa: miękka

£ 20,50

Ann Rudinow Saetnan

Statistics are often seen as simple, straightforward, and objective descriptions of society. However, what we choose to count, what we choose not to count, who does the counting, and the categories and values we choose to apply when counting, matter. This volume addresses the ways in which statistics and numbers are gathered and applied in social science research. The contributors argue that we must become more aware of the power and the limitations of statistics. Learning statistics needs to be about more than simply mastering the techniques of using the tool; it needs to also be about learning the dangers of that tool and learning to control it within social and ethical bounds. These dangers lie in the routines through which statistics are applied; the discourses from which they emerge and into which they are deployed; the power relations created by those discourses; and the assumptions, meanings, and categories statistics carry with them in those discourses. This volume will be necessary reading for students and scholars using quantitative data within the social sciences.

Taylor & Francis

The Research Journey: Introduction to Inquiry

9781462505128 08.05.2012 Oprawa: miękka

£ 23,99

Sharon F. Rallis

Designed to foster "inquiry-mindedness," this book prepares graduate students to develop a conceptual framework and conduct inquiry projects that are linked to ongoing conversations in a field. The authors examine different ways of knowing and show how to identify a research question; build arguments and support them with evidence; make informed design decisions; engage in reflective, ethical practices; and produce a written proposal or report. Each chapter opens with a set of critical questions, followed by a dialogue among five fictional graduate students exploring questions and concerns about their own inquiry projects; these issues are revisited throughout the chapter. Other useful features include end-of-chapter learning activities for individual or group use. Useful pedagogical features include:

Framing questions for exploration and reflection

Chapter-opening dialogues that bring in perspectives from multiple disciplines

Example boxes with detailed cases and questions for the reader

Taylor & Francis

The Visualisation of Spatial Social Structure

9781119962939 03.08.2012 Oprawa: twarda

£ 27,50

Danny Dorling

How do you draw a map of 100,000 places, of more than a million flows of people, of changes over time and space, of different kinds of spaces, surfaces and volumes, from human travel time to landscapes of hopes, fears, migration, manufacturing and mortality? How do you turn the millions of numbers concerning some of the most important moments of our lives into images that allow us to appreciate the aggregate while still remembering the detail? The visualization of spatial social structure means, literally, making visible the geographical patterns to the way our lives have come to be socially organized, seeing the geography in society. To a statistical readership visualization implies using data. More widely defined it implies freeing our imaginations. "The Visualization of Spatial Social Structure" introduces the reader to new ways of thinking about how to look at social statistics, particularly those about people in places. The author presents a unique combination of statistical focus and understanding of social structures and innovations in visualization, describing the rationale for, and development of, a new way of visualizing information in geographical research.

Wiley

Theory Construction and Model-building Skills

9781606233405 26.02.2010 Oprawa: twarda

£ 43,99

James Jaccard

Meeting a crucial need for graduate students and newly minted researchers, this innovative text provides hands-on tools for generating ideas and translating them into formal theories. It is illustrated with numerous practical examples drawn from multiple social science disciplines and research settings. The authors offer clear guidance for defining constructs, thinking through relationships and processes that link constructs, and deriving new theoretical models (or building on existing ones) based on those relationships. Step by step, they show readers how to use causal analysis, mathematical modeling, simulations, and grounded and emergent approaches to theory construction. A chapter on writing about theories contains invaluable advice on crafting effective papers and grant applications. Useful pedagogical features in every chapter include: Application exercises and concept exercises Lists of key terms and engaging topical boxes Annotated suggestions for further reading.

Taylor & Francis

Theory Construction and Model-building Skills

9781606233399 18.02.2010 Oprawa: miękka

£ 24,00

James Jaccard

Meeting a crucial need for graduate students and newly minted researchers, this innovative text provides hands-on tools for generating ideas and translating them into formal theories. It is illustrated with numerous practical examples drawn from multiple social science disciplines and research settings. The authors offer clear guidance for defining constructs, thinking through relationships and processes that link constructs, and deriving new theoretical models (or building on existing ones) based on those relationships. Step by step, they show readers how to use causal analysis, mathematical modeling, simulations, and grounded and emergent approaches to theory construction. A chapter on writing about theories contains invaluable advice on crafting effective papers and grant applications. Useful pedagogical features in every chapter include: Application exercises and concept exercises Lists of key terms and engaging topical boxes Annotated suggestions for further reading.

Taylor & Francis


112

Understanding and Applying Research Design

9781118096482 18.01.2013 Oprawa: twarda

£ 80,00

Martin Lee Abbott

This introductory guide provides a fresh approach to integrating design and statistics in a hands-on fashion that incorporates the power of SPSS (r) software to solve real-world problems. It explores the areas of design and causation--allowing readers to pose, test, and interpret research questions with live data. By integrating exercises and worksheets, the book allows readers to examine real world data from various fields of research--making it an ideal text for professionals and upper-level students involved in the social sciences.

Wiley

Understanding Research in Clinical and Counseling Psychology

9780415992213 15.03.2011 Oprawa: miękka

£ 39,99

Jay C. Thomas

Understanding Research in Clinical and Counseling Psychology, Second Edition, is written and designed for graduate students in the psychology and counseling fields, for whom the value of psychological research is not always readily apparent. Contributed to by experts in their respective fields, this text presents research as an indispensable tool for practice, a tool that is used every day to advance knowledge and improve assessment, treatment choice, and client outcomes. The book is divided into four logical parts: Research Foundations, Research Strategies, Research Practice, and finally, Special Problems. Included is a chapter that addresses one of the most important controversies, the distinction between realistic and "gold standard" efficacy studies. The remainder of the book addresses salient issues such as conducting research in various cultures, operating an empirically-oriented practice, and performing research with families, children, and the elderly. Students and professors will find the coverage ample and penetrating, without being too overwhelming.

Taylor & Francis

Understanding The New Statistics

9780415879682 10.08.2011 Oprawa: miękka

£ 31,99

Geoff Cumming

This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA Publication Manual guidelines by adopting the new statistics - which are more informative than null hypothesis significance testing, and becoming widely used in many disciplines. Accompanying the book is the Exploratory Software for Confidence Intervals (ESCI) package, free software that runs under Excel and is accessible at www.thenewstatistics.com. The book's exercises use ESCI's simulations, which are highly visual and interactive, to engage users and encourage exploration. Working with the simulations strengthens understanding of key statistical ideas. There are also many examples, and detailed guidance to show readers how to analyze their own data using the new statistics, and practical strategies for interpreting the results.

Taylor & Francis

Validity Generalization: A Critical Review

9780415653114 03.03.2013 Oprawa: miękka

£ 28,00

Kevin R. Murphy

This volume presents the first wide-ranging critical review of validity generalization (VG)--a method that has dominated the field since the publication of Schmidt and Hunter's (1977) paper "Development of a General Solution to the Problem of Validity Generalization." This paper and the work that followed had a profound impact on the science and practice of applied psychology. The research suggests that fundamental relationships among tests and criteria, and the constructs they represent are simpler and more regular than they appear. Looking at the history of the VG model and its impact on personnel psychology, top scholars and leading researchers of the field review the accomplishments of the model, as well as the continuing controversies. Several chapters significantly extend the maximum likelihood estimation with existing models for meta analysis and VG. Reviewing 25 years of progress in the field, this volume shows how the model can be extended and applied to new problems and domains. This book will be important to researchers and graduate students in the areas of industrial organizational psychology and statistics.

Taylor & Francis

When to Use What Research Design

9781462503537 06.04.2012 Oprawa: miękka

£ 26,99

W. Paul Vogt

Systematic, practical, and accessible, this is the first book to focus on finding the most defensible design for a particular research question. Thoughtful guidelines are provided for weighing the advantages and disadvantages of various methods, including qualitative, quantitative, and mixed methods designs. The book can be read sequentially or readers can dip into chapters on specific stages of research (basic design choices, selecting and sampling participants, addressing ethical issues) or data collection methods (surveys, interviews, experiments, observations, archival studies, and combined methods). Many chapter headings and subheadings are written as questions, helping readers quickly find the answers they need to make informed choices that will affect the later analysis and interpretation of their data. Useful features include: easy-to-navigate part and chapter structure engaging research examples from a variety of fields end-of-chapter tables that summarize the main points covered detailed suggestions for further reading at the end of each chapter integration of data collection, sampling, and research ethics in one volume comprehensive glossary.

Taylor & Francis

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