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Univariate and multivariate general linear models: theory and applications with SAS

Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory and Applications with SAS, Second Edition presents analyses of simple and complex models, both univariate and multivariate, that employ data sets from a variety...

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Detalles Bibliográficos
Autores principales: Kim, Kevin, Timm, Neil
Lenguaje:eng
Publicado: CRC Press 2006
Materias:
Acceso en línea:http://cds.cern.ch/record/1999725
Descripción
Sumario:Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory and Applications with SAS, Second Edition presents analyses of simple and complex models, both univariate and multivariate, that employ data sets from a variety of disciplines, such as the social and behavioral sciences.With revised examples that include options available using SAS 9.0, this expanded edition divides theory from applications within each chapter. Following an overview of the GLM, the book introduces unrestricted GLMs to analyze multiple regr