SAS for Mixed Models

Introduction and Basic Applications

Walter W Stroup, PH D, George A Milliken, PhD, Elizabeth a Claassen

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English

SAS Institute
12 December 2018

Enterprise software; Mathematical & statistical software

Summary
Details

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.

By: Walter W Stroup PH D, George A Milliken, PhD, Elizabeth a Claassen
Imprint: SAS Institute
Dimensions: Height: 279mm, Width: 216mm, Spine: 33mm
Weight: 1.683kg
ISBN: 9781642951837
ISBN 10: 1642951838
Pages: 608
Publication Date: 12 December 2018
Audience: General/trade , ELT Advanced
Format: Hardback
Publisher's Status: Active