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Multivariate general linear models / Richard F. Haase.

By: Material type: TextTextSeries: Quantitative applications in the social sciences ; no. 09-170Publication details: New Delhi : Sage, ©2011.Description: vi, 216 pages : illustrations, maps ; 22 cmISBN:
  • 9781412972499
Subject(s): DDC classification:
  • 000SA.07 23 H112
Contents:
1. Introduction and review of univariate general linear models -- 2. Specifying the structure of multivariate general linear models -- 3. Estimating the parameters of the multivariate general linear model -- 4. Partitioning the SSCP, measures of strength of association, and test statistics -- 5. Testing hypotheses in the multivariate general linear model -- 6. Coding the design matrix and multivariate analysis of variance -- 7. The eigenvalue solution ot the multivariate general linear model: canonical correlation and multivariate test statistics.
Summary: This book provides a graduate level introduction to multivariate multiple regression analysis. The book can be used as a sole text for that topic, or as a supplemental text in a course that addresses a larger number of multivariate topics.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SA.07 H112 (Browse shelf(Opens below)) Available 138394
Total holds: 0

Includes bibliographical references and index.

1. Introduction and review of univariate general linear models --
2. Specifying the structure of multivariate general linear models --
3. Estimating the parameters of the multivariate general linear model --
4. Partitioning the SSCP, measures of strength of association, and test statistics --
5. Testing hypotheses in the multivariate general linear model -- 6. Coding the design matrix and multivariate analysis of variance --
7. The eigenvalue solution ot the multivariate general linear model: canonical correlation and multivariate test statistics.

This book provides a graduate level introduction to multivariate multiple regression analysis. The book can be used as a sole text for that topic, or as a supplemental text in a course that addresses a larger number of multivariate topics.

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