Readings:
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Date |
Topic
|
References
|
Handouts
|
Assignments
|
1/08 |
Introduction to Linear Models MLE's in SLR |
CB:Chapter 5, 11
|
due 1/15 |
|
1/13 |
Sampling Distributions and Testing in SLR
|
CB:Chapter 5, 11
|
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1/15 |
Vector Spaces Projections |
C: Chapter 1, Appendix A, B
|
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1/22 |
Mutivariate Normal Distribution Theory
|
C: Appendix B
|
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1/27 |
Spectral Theorem, Singular Value Decomposition QR decompositions |
C: Appendix B
|
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1/29 |
Distributions of Quadratic Forms
|
C: Chapter 2, Appendix C,D |
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2/3 |
OLS, Gauss-Markov, and BLUE
|
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2/5 |
Minimum Variance Unbiased Estimation
|
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2/10 |
Linear Models with General CovarianceStructure
|
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2/12 |
Bayesian Estimation
|
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2/17 |
Testing Hypotheses
|
C: Chapter 3
|
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2/19 | ||||
3/31 |
Diagnostics
|
C: CHapter 13
|
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4/2 |
Diagnostics
|
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4/7 |
Diagnostics
|
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4/23 |
Bayes Variable Selection
|
Adding Leaps package example |
ozone data (training, validation) |
|
4/23 |
data for final.asc
|
due Thursday May 1, 2003 |