Linear Models
Statistics 312a/612a
Fall 1995

Class meets in Statistics 103, 2.30-3.45 Tuesday and Thursday There are problem sessions every second Tuesday, beginning 19 September 1995 There are no exams.

1. History of Linear Models
2. Linear Algebra
3. Normal Theory
4. Optimality of Least Squares
5. Inadmissibility of Least Squares
6. Admissible Bayes estimates
7. Experimental Design
8. Analysis of Variance
9. Variance components
10. Gram-Schmidt
11. Singular valued decompositions
12. Collinearity, numerical error analysis
13. Variable selection
14. Transformation
15. Graphs
16. Outliers
17. Minimum absolute deviations
18. Regression diagnostics
19. Generalized linear models
20. Logistic models
21. Poisson models