Multivariate General Linear Models
Paperback or Softback 224 pages Dec 16, 2011
(No reviews yet)
Write a Review
Write a Review
Sage Publications, Inc
Multivariate General Linear Models
Millions of titlesEvery book you're looking for
Carbon-neutral shippingFree on orders over $39.99
Fast shipping worldwideDelivered to your door
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.
- Author:
- Richard F. Haase
- Publisher:
- Sage Publications, Inc
- Publication Date:
- Dec 16, 2011
- Number of pages:
- 224 pages
- Binding:
- Paperback or Softback
- ISBN-10:
- 1412972493
- ISBN-13:
- 9781412972499