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SAS for Mixed Models by Ph D Ramon C Littell, Ph D George a Milliken, Ph D Walter W Stroup (Paperback, 2006)

The indispensable, up-to-date guide to mixed models using SAS. Discover the latest capabilities available for a variety of applications featuring the MIXED, GLIMMIX, and NLMIXED procedures in SAS for Mixed Models, Second Edition, the comprehensive mixed models guide for data analysis, completely revised and updated for SAS 9 by authors Ramon Littell, George Milliken, Walter Stroup, Russell Wolfinger, and Oliver Schabenberger. The theory underlying the models, the forms of the models for various applications, and a wealth of examples from different fields of study are integrated in the discussions of these models: random effect only and random coefficients models; split-plot, multilocation, and repeated measures models; hierarchical models with nested random effects; analysis of covariance models; spatial correlation models; generalized linear mixed models; and nlinear mixed models. Professionals and students with a background in two-way ANOVA and regression and a basic kwledge of linear models and matrix algebra will benefit from the topics covered. This book is part of the SAS Press program.

Content Note
Black & White Illustrations
Author Biography
Ramon C. Littell, Ph.D., Professor of Statistics at the University of Florida, is the coauthor of several books, including SAS System for Regression, Third Edition, and SAS for Linear Models, Fourth Edition. He has worked with SAS software since 1986.
Date of Publication
01/03/2006
Edition Statement
2nd Ed.
Country of Publication
United States

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