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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.
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.
| Erscheinungsjahr: | 2018 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 608 |
| ISBN-13: | 9781635261356 |
| ISBN-10: | 163526135X |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Stroup, Walter W.
Milliken, George A. Claassen, Elizabeth A. |
| Hersteller: | SAS Institute |
| Maße: | 280 x 210 x 33 mm |
| Von/Mit: | Walter W. Stroup (u. a.) |
| Erscheinungsdatum: | 12.12.2018 |
| Gewicht: | 1,465 kg |
| Erscheinungsjahr: | 2018 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 608 |
| ISBN-13: | 9781635261356 |
| ISBN-10: | 163526135X |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Stroup, Walter W.
Milliken, George A. Claassen, Elizabeth A. |
| Hersteller: | SAS Institute |
| Maße: | 280 x 210 x 33 mm |
| Von/Mit: | Walter W. Stroup (u. a.) |
| Erscheinungsdatum: | 12.12.2018 |
| Gewicht: | 1,465 kg |
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