SAS for Mixed Models

1st Edition

Introduction and Basic Applications

Walter W. Stroup; George A. Milliken; Elizabeth A. Claassen; Russell D. Wolfinger
eISBN-13: 9781635261523

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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 masters 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

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Sold By SAS Institute
ISBNs 9781635261356, 9781635261523, 9781635261547, 9781642951837
Publish Year 2018
Language English
Number of Pages 608
Edition 1st