SAS for Mixed Models: Introduction and Basic Applications - Tapa blanda

Stroup PhD, Walter W.; Milliken PhD, George A.; Claassen PhD, Elizabeth A.; Wolfinger PhD, Russell D.

 
9781635261356: SAS for Mixed Models: Introduction and Basic Applications

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Críticas

"The new SAS for Mixed Models edition should be read by everyone analyzing data. The book excels at combining instructional material on the meaning and uses of mixed models with specific instructions on how to use SAS software." -- Laurence V. Madden, Distinguished Professor of Plant Protection "The Ohio State University"

Reseña del editor

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Otras ediciones populares con el mismo título

9781642951837: SAS for Mixed Models: Introduction and Basic Applications

Edición Destacada

ISBN 10:  1642951838 ISBN 13:  9781642951837
Editorial: SAS Institute, 2018
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