 
Linear Models in Statistics, 2nd Edition
ISBN: 978-0-470-19260-3
Adobe E-Book
544 pages
January 2008
US $127.50
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1. Introduction.
2. Matrix Algebra.
3. Random Vectors and Matrices.
4. Multivariate Normal Distribution.
5. Distribution of Quadratic Forms in y.
6. Simple Linear Regression.
7. Multiple Regression: Estimation.
8. Multiple Regression: tests of Hypotheses and Confidence Intervals.
9. Multiple Regression: Model Validation and Diagnostics.
10. Multiple Regression: random x's.
11. Multiple Regression: Bayesian Inference.
12. Analysis-of-Variance Models.
13. One-Way Analysis-of-Variance: balanced Case.
14. Two-Way Analysis-of Variance: Balanced Case.
15. Analysis-of-Variance: The Cell Means Model for Unbalanced Data.
16. Analysis-of-Covariance.
17. Linear Mixed Models.
18. Additional Models.
Appendix A. Answers and Hits to the Problems.
References.
Index.
