Description: Multivariate General Linear Models Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Richard F. Haase Format: Paperback Publisher: SAGE Publications Inc, United States Imprint: SAGE Publications Inc ISBN-13: 9781412972499, 978-1412972499 Synopsis This book provides 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. 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. 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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Book Title: Multivariate General Linear Models
Number of Pages: 224 Pages
Publication Name: Multivariate General Linear Models
Language: English
Publisher: SAGE Publications INC International Concepts
Item Height: 215 mm
Subject: Mathematics
Publication Year: 2012
Type: Textbook
Author: Richard F. Haase
Item Width: 139 mm
Series: Quantitative Applications in the Social Sciences
Format: Paperback
