Multivariate General Linear Models
Multivariate General Linear Models by Richard F. Haase, published by SAGE on November 23, 2011, is a comprehensive introduction to multivariate multiple regression analysis and multivariate analysis of variance. This 216-page volume begins with an overview of the univariate general linear model and progresses to define the key steps in analyzing linear model data, presenting multivariate linear model analysis as an extension of the univariate model.
Readers will find a detailed exploration of multivariate measures of association for four common multivariate test statistics, alongside a flexible method for hypothesis testing on models. The text emphasizes multivariate procedures attributed to notable figures such as Wilks, Pillai, Hotelling, and Roy. Additionally, the book concludes with a discussion on canonical correlation analysis, which integrates the multivariate procedures covered earlier. Illustrative examples from various disciplines, including personnel psychology, anthropology, environmental epidemiology, and neuropsychology, enhance the understanding of the concepts presented.
Official synopsis Publisher
Multivariate General Linear Models is an integrated introduction to multivariate multiple regression analysis (MMR) and multivariate analysis of variance (MANOVA). Beginning with an overview of the univariate general linear model, this volume defines the key steps in analyzing linear model data, and introduces multivariate linear model analysis as a generalization of the univariate model. The author 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. The volume concludes with a discussion of canonical correlation analysis that is shown to subsume all the multivariate procedures discussed in previous chapters. The analyses are illustrated throughout the text with three running examples drawing from several disciples, including personnel psychology, anthropology, environmental epidemiology, and neuropsychology.
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