SAS for Mixed Models

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Authors: Ramon C. Littell, George A. Milliken, Walter W. Stroup, Russell Wolfinger, Oliver Schabenberger

Publisher: SAS Institute

Editions

1 Paperback (1995)

2 Paperback (2006)

2 Paperback

Year: 2006

ISBN: 978-1-59047-500-3

Pages: 828

Publisher’s list price: 119.95

Contents

  • 1. Introduction
  • 2. Randomized Block Designs
  • 3. Random Effects Models
  • 4. Multi-factor Treatment Designs with Multiple Error Terms
  • 5. Analysis of Repeated Measures Data
  • 6. Best Linear Unbiased Prediction
  • 7. Analysis of Covariance
  • 8. Random Coefficient Models
  • 9. Heterogeneous Variance Models
  • 10. Mixed Model Diagnostics
  • 11. Spatial Variability
  • 12. Power Calculations for Mixed Models
  • 13. Some Bayesian Approaches to Mixed Models
  • 14. Generalized Linear Mixed Models
  • 15. Nonlinear Mixed Models
  • 16. Case Studies
  • Appendix 1. Linear Mixed Model Theory
  • Appendix 2. Data Sets
  • References
  • Index

1 Paperback

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Title: SAS System for Mixed Models

Authors: Ramon C. Littell, George A. Milliken, Walter W. Stroup, Russell Wolfinger

Year: 1995

ISBN: 1-55544-779-1

Pages: 633

Publisher’s list price: 59.95

Contents

  • Chapter 1. A Setting for Mixed Models Applications: Randomized Blocks Designs
  • Chapter 2. Common Mixed Models
  • Chapter 3. Analysis of Repeated Measures Data
  • Chapter 4. Random Effects Models
  • Chapter 5. Analysis of Covariance
  • Chapter 6. Best Linear Unbiased Prediction
  • Chapter 7. Random Coefficient Models
  • Chapter 8. Heterogeneous Variance Models
  • Chapter 9. Spatial Variability
  • Chapter 10. Case Studies
  • Chapter 11. Generalized Linear Mixed Models
  • Chapter 12. Nonlinear Mixed Models
  • Appendix 1. Mixed Models Theory
  • Appendix 2. GLIMMIX Macro
  • Appendix 3. NLINMIX Macro
  • Appendix 4. SAS Datasets
  • Index