Multivariate General Linear Models
Author | : Richard F. Haase |
Publisher | : SAGE |
Total Pages | : 225 |
Release | : 2011-11-23 |
ISBN-13 | : 9781412972499 |
ISBN-10 | : 1412972493 |
Rating | : 4/5 (93 Downloads) |
Download or read book Multivariate General Linear Models written by Richard F. Haase and published by SAGE. This book was released on 2011-11-23 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.