Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de biblioth�que avec signature et cachet. BON �tat, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 KIM 9781584886341 Sprache: Englisch Gewicht in Gramm: 550.

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Detalles bibliogr�ficos

T�tulo

Univariate and multivariate general linear models theory and applications with SAS Kevin Kim, Neil Timm. Statistics: textbooks and monographs 190.

Editor

Boca Raton, Chapman & Hall/CRC

Fecha de publicaci�n

2007

Idioma

Ingl�s

ISBN 10

158488634X

ISBN 13

9781584886341

Encuadernaci�n

Hardcover

Edici�n

2� Edici�n

Cat�logos de vendedores

SA MATHEMATIK

Acerca de

Sinopsis

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 regression and ANOVA designs as well as restricted GLMs to study ANCOVA designs and repeated measurement designs. Extensions of these concepts include GLMs with heteroscedastic errors that encompass weighted least squares regression and categorical data analysis, and multivariate GLMs that cover multivariate regression analysis, MANOVA, MANCOVA, and repeated measurement data analyses. The book also analyzes double multivariate linear, growth curve, seeming unrelated regression (SUR), restricted GMANOVA, and hierarchical linear models.

New to the Second Edition

Two chapters on finite intersection tests and power analysis that illustrates the experimental GLMPOWER procedure

Expanded theory of unrestricted general linear, multivariate general linear, SUR, and restricted GMANOVA models to comprise recent developments

Expanded material on missing data to include multiple imputation and the EM algorithm

Applications of MI, MIANALYZE, TRANSREG, and CALIS procedures

A practical introduction to GLMs, Univariate and Multivariate General Linear Models demonstrates how to fully grasp the generality of GLMs by discussing them within a general framework.

Acerca del autor

Kevin Kim, Neil Timm

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