This book has been written for investigators, specifically behavioral scientists, biomedical scientists, industrial or academic researchers who wish to perform multivariate statistical analyses on their data and understand the results. lt has been written so that it can either be used as a self-guided textbook or as a text in an applied course in multivariate analysis. In addition, we believe that the book will be helpful to many statisticians who have been trained in conventional mathematical statistics who are now working as statistical consultants and need to give explanations to clients who Iack sufficient background in mathematics. We do not present mathematical derivations ofthe techniques in this book; rather we rely on geometric and graphical arguments and on examples to illustrate them. The mathematicallevel has been kept deliberately low, with no mathematics beyond the high-school Ievel required. The derivations of the techniques are referenced. The original derivations for most of the current techniques were done 50 years ago so we feel that the applications of these techniques to real-life problems is the 'fun' part now. We have assumed that the reader has taken a basic course in statistics that includes test of hypotheses. Many computer programs use analysis of variance and that part of the results of the program can only be understood if the reader is familiar with one-way analysis of variance.

Computer-Aided Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science)

Science & Math

Afifi, Abdelmonem

Mathematics

Chapman and Hall/CRC

This second edition incorporates a new chapter on applications, new problem sets for each chapter, and a thorough updating on all topics to constitute an even more valuable reference. In addition to meeting the demand for a rigorous theoretical discussion of this increasingly important area of mathematics for research, engineering, electronics, and all kinds of economic and population studies, the book offers numerous relevant examples worked-out in detail and extensive new coverage of engineering and science applications, nonlinear difference equations, and leading-edge techniques.

Computer-Aided Multivariate Analysis, Fourth Edition (Chapman & Hall/CRC Texts in Statistical Science)

Clark, Virginia A.

Practical Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science)

This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc. The sixth edition has been updated with a new chapter on data visualization, a distinction made between exploratory and confirmatory analyses and a new section on generalized estimating equations and many new updates throughout. This new edition will enable the book to continue as one of the leading textbooks in the area, particularly for non-statisticians. 
Key Features:\nProvides a comprehensive, practical and accessible introduction to multivariate analysis.\nKeeps mathematical details to a minimum, so particularly geared toward a non-statistical audience.\nIncludes lots of detailed worked examples, guidance on computing, and exercises.\nUpdated with a new chapter on data visualization.

May, Susanne

Donatello, Robin

Reference

This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc. The sixth edition has been updated with a new chapter on data visualization, a distinction made between exploratory and confirmatory analyses and a new section on generalized estimating equations and many new updates throughout. This new edition will enable the book to continue as one of the leading textbooks in the area, particularly for non-statisticians. 
Key Features: <ul>
<li>Provides a comprehensive, practical and accessible introduction to multivariate analysis. </li> <li>Keeps mathematical details to a minimum, so particularly geared toward a non-statistical audience. </li> <li>Includes lots of detailed worked examples, guidance on computing, and exercises. </li> <li>Updated with a new chapter on data visualization.</li> </ul>

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 <ul>
<li>Chapter on regression of correlated outcomes resulting from clustered or longitudinal samples</li> <li>Reorganization of the chapter on data analysis preparation to reflect current software packages</li> <li>Use of R statistical software</li> <li>Updated and reorganized references and summary tables</li> <li>Additional end-of-chapter problems and data sets</li> </ul> The first part of the book provides examples of studies requiring multivariate analysis techniques; discusses characterizing data for analysis, computer programs, data entry, data management, data clean-up, missing values, and transformations; and presents a rough guide to assist in choosing the appropriate multivariate analysis. The second part examines outliers and diagnostics in simple linear regression and looks at how multiple linear regression is employed in practice and as a foundation for understanding a variety of concepts. The final part deals with the core of multivariate analysis, covering canonical correlation, discriminant, logistic regression, survival, principal components, factor, cluster, and log-linear analyses. While the text focuses on the use of R, S-PLUS, SAS, SPSS, Stata, and STATISTICA, other software packages can also be used since the output of most standard statistical programs is explained. Data sets and code are available for download from the book’s web page and CRC Press Online.

Computer-Aided Multivariate Analysis, Fourth Edition enables researchers and students with limited mathematical backgrounds to understand the concepts underlying multivariate statistical analysis, perform analysis using statistical packages, and understand the output. New topics include Loess and Poisson regression, nominal and ordinal logistic regression, interpretation of interactions in logistic and survival analysis, and imputation for missing values. This book includes new exercises and references, and updated options in the latest versions of the statistical packages. All data sets and codebooks are available for download. The authors explain the assumptions made in performing each analysis and test, how to determine if your data meets those assumptions, and what to do if they do not. What to Watch out for sections in each chapter warn of common difficulties. By reading this text, you will know what method to use with your data set, how to get the results, and how to interpret them and explain them to others. New in the Fourth Edition: <ul>
<li>Expanded explanation of checking for goodness of fit in logistic regression and survival analysis</li> <li>Kaplan-Meier estimates of survival curves, formal tests for comparing survival between groups, interactions and the use of time-dependent covariates in survival analysis</li> <li>Expanded discussion of how to handle missing values</li> <li>Latest features of the S-PLUS package in addition to SAS, SPSS, STATA, and STATISTICA for multivariate analysis</li> <li>Data sets for the problems are available at the CRC web site: http://www.crcpress.com/product/isbn/9781584883081</li> <li>Commands and output for examples used in the text for each statistical package are available at the UCLA web site: http://www.ats.ucla.edu/stat/examples/cama4/</li>
</ul>

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Books by Afifi, Abdelmonem

See the best price to sell, buy, or rent books by Afifi, Abdelmonem. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Computer-Aided Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science)

Computer-Aided Multivariate Analysis, Fourth Edition (Chapman & Hall/CRC Texts in Statistical Science)

Practical Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science)

Practical Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science)

Practical Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science)

Computer-Aided Multivariate Analysis, Fourth Edition (Chapman & Hall/CRC Texts in Statistical Science)