SAS for Mixed Models: Introduction and Basic Applications

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SAS for Mixed Models: Introduction and Basic Applications

English | 2018 | ISBN: 163526135X | 608 pages | PDF | 17.03 MB



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.

SAS for Mixed Models: Introduction and Basic Applications

English | 2018 | ISBN: 163526135X | 608 pages | PDF | 17.03 MB



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.

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