SAS for Mixed Models
1st Edition
Introduction and Basic Applications
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Additional Book 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 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
Additional resources for this book can be found by accessing the link below.
| Sold By | SAS Institute |
|---|---|
| ISBNs | 9781635261356, 9781635261523, 9781635261547, 9781642951837 |
| Publish Year | 2018 |
| Language | English |
| Number of Pages | 608 |
| Edition | 1st |
| Website | https://support.sas.com/stroup |