SAS for Mixed Models
Authors: Ramon C. Littell, George A. Milliken, Walter W. Stroup, Russell Wolfinger, Oliver Schabenberger
Publisher: SAS Institute
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
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