Computer Aided Multivariate Analysis
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Computer Aided Multivariate Analysis Fourth Edition
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Author : Abdelmonem Afifi
language : en
Publisher: CRC Press
Release Date : 2003-12-29
Computer Aided Multivariate Analysis Fourth Edition written by Abdelmonem Afifi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-12-29 with Mathematics categories.
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: Expanded explanation of checking for goodness of fit in logistic regression and survival analysis Kaplan-Meier estimates of survival curves, formal tests for comparing survival between groups, interactions and the use of time-dependent covariates in survival analysis Expanded discussion of how to handle missing values Latest features of the S-PLUS package in addition to SAS, SPSS, STATA, and STATISTICA for multivariate analysis Data sets for the problems are available at the CRC web site: http://www.crcpress.com/product/isbn/9781584883081 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/
Computer Aided Multivariate Analysis
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Author : Abdelmonem A. Afifi
language : en
Publisher: Van Nostrand Reinhold Company
Release Date : 1990
Computer Aided Multivariate Analysis written by Abdelmonem A. Afifi and has been published by Van Nostrand Reinhold Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Mathematics categories.
Computer Aided Multivariate Analysis
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Author : Abdelmonem Abdelaziz Afifi
language : en
Publisher:
Release Date : 1996
Computer Aided Multivariate Analysis written by Abdelmonem Abdelaziz Afifi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Multivariate analysis categories.
Computer Aided Multivariate Analysis
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Author : Abdelmonem Abdelaziz Afifi
language : en
Publisher:
Release Date : 1996
Computer Aided Multivariate Analysis written by Abdelmonem Abdelaziz Afifi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Multivariate analysis categories.
Practical Multivariate Analysis
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Author : Abdelmonem Afifi
language : en
Publisher: CRC Press
Release Date : 2019-10-16
Practical Multivariate Analysis written by Abdelmonem Afifi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-16 with Mathematics categories.
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: Provides a comprehensive, practical and accessible introduction to multivariate analysis. Keeps mathematical details to a minimum, so particularly geared toward a non-statistical audience. Includes lots of detailed worked examples, guidance on computing, and exercises. Updated with a new chapter on data visualization.
Practical Multivariate Analysis Fifth Edition
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Author : Abdelmonem Afifi
language : en
Publisher: CRC Press
Release Date : 2011-07-05
Practical Multivariate Analysis Fifth Edition written by Abdelmonem Afifi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-05 with Mathematics categories.
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 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
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Author : Abdelmonem Afifi
language : en
Publisher: Chapman and Hall/CRC
Release Date : 1996-06-01
Computer Aided Multivariate Analysis Fourth Edition written by Abdelmonem Afifi and has been published by Chapman and Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-06-01 with Mathematics categories.
Increasingly, researchers need to perform multivariate statistical analyses on their data. Unfortunately, a lack of mathematical training prevents many from taking advantage of these advanced techniques, in part, because books focus on the theory & neglect to explain how to perform & interpret multivariate analyses on real-life data. For years, Afifi & Clark's Computer-Aided Multivariate Analysis has been a welcome exception-helping researchers choose the appropriate analyses for their data, carry them out, & interpret the results. Only a limited knowledge of statistics is assumed, & geometrical & graphical explanations are used to explain what the analyses do. However, the basic model is always given, & assumptions are discussed. Reflecting the increased emphasis on computers, the Third Edition includes three additional statistical packages written for the personal computer. The authors also discuss data entry, database management, data screening, data transformations, as well as multivariate data analysis. Another new chapter focuses on log-linear analysis of multi-way frequency tables. Students in a wide range of fields-ranging from psychology, sociology, & physical sciences to public health & biomedical science-will find Computer-Aided Multivariate Analysis especially informative & enlightening.
Bmdp Statistical Software Manual
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Author : Wilfrid Joseph Dixon
language : en
Publisher: Univ of California Press
Release Date : 1990
Bmdp Statistical Software Manual written by Wilfrid Joseph Dixon and has been published by Univ of California Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Mathematics categories.
Guide To Practical Statistics
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Author : Jacques Pietersen
language : en
Publisher: HSRC Press
Release Date : 1998-12
Guide To Practical Statistics written by Jacques Pietersen and has been published by HSRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-12 with Mathematical statistics categories.
This text is intended to make researchers, particularly social science researchers, aware of the statistical methodologies used in the analysis of research data.
A Course In Large Sample Theory
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Author : Thomas S. Ferguson
language : en
Publisher: Routledge
Release Date : 2017-09-06
A Course In Large Sample Theory written by Thomas S. Ferguson and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-06 with Mathematics categories.
A Course in Large Sample Theory is presented in four parts. The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard statistical topics. Nearly all topics are covered in their multivariate setting.The book is intended as a first year graduate course in large sample theory for statisticians. It has been used by graduate students in statistics, biostatistics, mathematics, and related fields. Throughout the book there are many examples and exercises with solutions. It is an ideal text for self study.