SAS for Mixed Models
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SAS for Mixed Models by Walter W Stroup
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 GLIMIX 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
Ramon Littell and Walter W. Stroup are the authors of SAS System for Linear Models, 4e + Linear Models in Statistics, 2e Set, published by Wiley.
| SKU | Unavailable |
| ISBN 13 | 9781635261356 |
| ISBN 10 | 163526135X |
| Title | SAS for Mixed Models |
| Author | Walter W Stroup |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | SAS Institute |
| Year published | 2018-12-12 |
| Number of pages | 608 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |