SAS for Mixed Models - Elizabeth a Claassen - Bog

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.