SAS for mixed models /

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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 Editio...

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Detalles Bibliográficos
Autores principales: Stroup, Walter W. (Walter Whitney), Milliken, George A., 1943- (Autor), Claassen, Elizabeth A. (Autor), Wolfinger, Russell Dean (Autor)
Autor Corporativo: Safari, an O'Reilly Media Company
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cary, NC : SAS Institute, 2018.
Edición:First edition.
Temas:
SAS (Computer file)
Analysis of variance.
Linear models (Statistics)
Mathematical statistics > Data processing.
Multilevel models (Statistics)
Multivariate analysis.
Analyse de variance.
Statistique mathématique > Informatique.
Modèles multiniveaux (Statistique)
Analyse multivariée.
Instructional and educational works.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Mixed model basics
  • Design structure I : single random effect
  • Mean comparions for fixed effects
  • Power, precision, and sample size I : basic concepts
  • Design structure II : models with multiple random effects
  • Random effects models
  • Analysis of covariance
  • Analysis of repeated measures data
  • Best linear unbiased prediction (BLUP) and inference on random effects
  • Random coefficient models
  • Generalized linear mixed models for binomial data
  • Generalized linear mixed models for binomial data
  • Generalized linear mixed models for count data
  • Generalized linear mixed models for multilevel and repeated measures experiments
  • Power, precision, and sample size II : general approaches
  • Mixed model troubleshooting and diagnostics
  • Appendix A. Linear mixed model theory
  • Appendix B. Generalized linear mixed model theory.

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