STAT8561 - Linear Statistical Analysis I
13
Summary
Preface
1
Introduction
2
Week 1 Overview
3
Week 2 Overview
4
Week 3: Distribution Theory of OLS and Inference
5
Week 4: ANOVA Decomposition, Overall F Test, and Nested Models
6
Week 5: Multiple Regression, Partial Effects, and Categorical Predictors
7
Week 6: Residual Analysis, Diagnostics, and Model Adequacy
8
Week 7: Transformations, Weighted Least Squares, and Remedial Measures
9
Week 8: Multicollinearity, Variable Selection, and Model Building
10
Week 9: General Linear Hypotheses, Contrasts, and Estimability
11
Week 10: One-Way ANOVA, Two-Way ANOVA, and ANCOVA in the Linear Model Framework
12
Week 11: Generalized Least Squares, Correlated Errors, and Beyond Ordinary Least Squares
13
Summary
References
Appendix
14
Matrix Algebra Review
13
Summary
In summary, this book has no content whatsoever.
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Week 11: Generalized Least Squares, Correlated Errors, and Beyond Ordinary Least Squares
References