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Multivariate general linear models /

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This title provides an integrated introduction to multivariate multiple regression analysis (MMR) and multivariate analysis of variance (MANOVA). It defines the key steps in analyzing linear model data and introduces multivariate linear model analysis as a generalization of the univariate model. Ric...

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Bibliographic Details
Main Author: Haase, Richard F.
Format: eBook
Language:English
Published: Thousand Oaks, Calif. : SAGE, [2011]
Series:Quantitative applications in the social sciences ; no. 09-170.
Subjects:
Social sciences > Statistical methods.
Multivariate analysis.
Regression analysis.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:This title provides an integrated introduction to multivariate multiple regression analysis (MMR) and multivariate analysis of variance (MANOVA). It defines the key steps in analyzing linear model data and introduces multivariate linear model analysis as a generalization of the univariate model. Richard F. Haase focuses on multivariate measures of association for four common multivariate test statistics, presents a flexible method for testing hypotheses on models, and emphasizes the multivariate procedures attributable to Wilks, Pillai, Hotelling, and Roy.
Item Description:Electronic resource.
Physical Description:1 online resource (vi, 216 pages) : illustrations, maps.
Bibliography:Includes bibliographical references and index.
ISBN:9781452269924 (ebook) :