Computer-aided multivariate analysis / Abdelmonem Afifi, Virginia A. Clark and Susanne May.

By: Afifi, Abdelmonem AbdelazizContributor(s): Clark, Virginia A [] | May, Susanne []Material type: TextTextSeries: Texts in statistical sciencePublication details: Boca Raton [etc.] : Chapman & Hall, cop. 2004. Edition: 4th ed.Description: XVI, 489 p. ; 24 cmISBN: 1584883081Subject(s): Análisis multivariante -- Proceso de datosSummary: 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.
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Manuales 04. BIBLIOTECA CIENCIAS DE LA SALUD
1209/09/AFI (Browse shelf(Opens below)) Texto completo Available   Shelving location | Bibliomaps® 3740822116
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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.

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