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SAS for Mixed Models

- Introduction and Basic Applications

Bag om SAS for Mixed Models

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.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781642951837
  • Indbinding:
  • Hardback
  • Sideantal:
  • 608
  • Udgivet:
  • 12. december 2018
  • Størrelse:
  • 280x216x33 mm.
  • Vægt:
  • 1678 g.
  • 8-11 hverdage.
  • 13. december 2024
Forlænget returret til d. 31. januar 2025

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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.

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