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Computer-aided multivariate analysis

By: Afifi, Abdelmonem.
Publisher: Boca Raton Chapman & Hall/CRC Press 2004Edition: 4th ed.Description: xxi, 455 p.ISBN: 9781584883081.Subject(s): Multivariate analysis - Data processingDDC classification: 519.535 Summary: It 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.
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Slot 1423 (0 Floor, East Wing) Non-fiction 519.535 A6C6 (Browse shelf) Available 170843

Texts in Statistical Science

It 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.

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