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Multivariate Analysis In The Computer Age


Multivariate Analysis In The Computer Age
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Multivariate Analysis In The Computer Age


Multivariate Analysis In The Computer Age
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Author : Stanford University. Department of Statistics
language : en
Publisher:
Release Date : 1992

Multivariate Analysis In The Computer Age written by Stanford University. Department of Statistics and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with categories.




Computer Aided Multivariate Analysis Fourth Edition


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


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.




Practical Multivariate Analysis Fifth Edition


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.



Measurement And Multivariate Analysis


Measurement And Multivariate Analysis
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Author : Shizuhiko Nishisato
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11

Measurement And Multivariate Analysis written by Shizuhiko Nishisato and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Mathematics categories.


Diversity is characteristic of the information age and also of statistics. To date, the social sciences have contributed greatly to the development of handling data under the rubric of measurement, while the statistical sciences have made phenomenal advances in theory and algorithms. Measurement and Multivariate Analysis promotes an effective interplay between those two realms of research-diversity with unity. The union and the intersection of those two areas of interest are reflected in the papers in this book, drawn from an international conference in Banff, Canada, with participants from 15 countries. In five major categories - scaling, structural analysis, statistical inference, algorithms, and data analysis - readers will find a rich variety of topics of current interest in the extended statistical community.



Statistical Data Analysis In The Computer Age


Statistical Data Analysis In The Computer Age
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Author : Stanford University. Department of Statistics
language : en
Publisher:
Release Date : 1991

Statistical Data Analysis In The Computer Age written by Stanford University. Department of Statistics and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Bayesian statistical decision theory categories.




Multivariate Analysis Future Directions 2


Multivariate Analysis Future Directions 2
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Author : C.M. Cuadras
language : en
Publisher: Elsevier
Release Date : 2014-05-21

Multivariate Analysis Future Directions 2 written by C.M. Cuadras and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-21 with Mathematics categories.


The contributions in this volume, made by distinguished statisticians in several frontier areas of research in multivariate analysis, cover a broad field and indicate future directions of research. The topics covered include discriminant analysis, multidimensional scaling, categorical data analysis, correspondence analysis and biplots, association analysis, latent variable models, bootstrap distributions, differential geometry applications and others. Most of the papers propose generalizations or new applications of multivariate analysis. This volume will be of great interest to statisticians, probabilists, data analysts and scientists working in the disciplines such as biology, biometry, ecology, medicine, econometry, psychometry and marketing. It will be a valuable guide to professors, researchers and graduate students seeking new and promising lines of statistical research.



Computer Aided Multivariate Analysis


Computer Aided Multivariate Analysis
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Author : Abdelmonem A. Afifi
language : en
Publisher:
Release Date : 1999

Computer Aided Multivariate Analysis written by Abdelmonem A. Afifi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.




Computer Age Statistical Inference


Computer Age Statistical Inference
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Author : Bradley Efron
language : en
Publisher: Cambridge University Press
Release Date : 2016-07-21

Computer Age Statistical Inference written by Bradley Efron and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-21 with Business & Economics categories.


Take an exhilarating journey through the modern revolution in statistics with two of the ringleaders.



Practical Multivariate Analysis


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.