Univariate and Multivariate General Linear Models: Theory and Applications Using SAS Software
by Neil H. Timm and Tammy A. Mieczkowski
Researchers and students of applied statistics and the social and behavioral sciences will find this book indispensable for understanding both general linear model theory and application. The model is discussed using a general framework, enabling students to appreciate fully the generality of the model. The authors present and explain in detail actual SAS code for analyzing general linear model applications. Additional topics include the following: ANOVA and MANOVA models with and without restrictions, the GMANOVA model, the mixed MANOVA-GMANOVA model, the sum-of-profiles model, the SUR model, the CGMANOVA model, HLM, mixed models, and the analysis of repeated measures with missing data.
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