Discover the power of mixed models with SAS.Mixed modelsnow the mainstream vehicle for analyzing most research dataare part of the core curriculum in most masters degree programs in statistics and data science. In a single volume, this book updates bothSAS® for Linear Models, Fourth Edition, andSAS® 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.