SAS for Mixed Models

Introduction and Basic Applications

By: Walter W. Stroup, George a. Milliken, Elizabeth a. Claassen

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Paperback | 12 December 2018

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608 Pages

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27.94 x 20.96 x 3.12

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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(R) for Linear Models, Fourth Edition, and SAS(R) 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(R) 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.

Industry Reviews

"The new SAS for Mixed Models edition should be read by everyone analyzing data. The book excels at combining instructional material on the meaning and uses of mixed models with specific instructions on how to use SAS software." -- Laurence V. Madden, Distinguished Professor of Plant Protection "The Ohio State University"

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