Walter W. Stroup & George A. Milliken 
SAS for Mixed Models [EPUB ebook] 
Introduction and Basic Applications

Discover the power of mixed models with SAS.
Mixed models—now the mainstream vehicle for analyzing most research data—are part of the core curriculum in most master’s degree programs in statistics and data science. In a single volume, this book updates both SAS® for Linear Models, Fourth Edition, and SAS® for Mixed Models, Second Edition, covering the latest capabilities for a variety of applications featuring the SAS GLIMMIX and MIXED procedures. Written for instructors of statistics, graduate students, scientists, statisticians in business or government, and other decision makers, SAS® for Mixed Models is the perfect entry for those with a background in two-way analysis of variance, regression, and intermediate-level use of SAS.

This book expands coverage of mixed models for non-normal data and mixed-model-based precision and power analysis, including the following topics:

• Random-effect-only and random-coefficients models


• Multilevel, split-plot, multilocation, and repeated measures models


• Hierarchical models with nested random effects


• Analysis of covariance models


• Generalized linear mixed models

This book is part of the SAS Press program.

关于作者

Russell D. Wolfinger, Ph D, is Director of Scientific Discovery and Genomics at SAS, a department he started, where he leads research and development of JMP and SAS software solutions in the domains of genomics and clinical trials. Dr. Wolfinger devoted 10 years to developing and promoting SAS statistical procedures for mixed models and multiple testing. He has co-authored more than 100 publications, including three books. He is a Kaggle Grandmaster, as well as a Fellow of both the American Association for the Advancement of Science and the American Statistical Association.