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1. Double Descent: Understanding Linear Model Estimation of Nonidentifiable Parameters and a Model for Overfitting

2. Analysis of variance, design, and regression : linear modeling for unbalanced data.

5. Analysis of Covariance

6. Regression Analysis

8. One-Way ANOVA

9. Testing

10. Introduction

11. Estimation

12. Variable Selection

14. Model Diagnostics

15. Split Plot Models

19. Time Domain Analysis

24. Penalized Estimation

25. Nonparametric Regression

32. A Conversation with Seymour Geisser

36. Comment: Fisher Lecture: Dimension Reduction in Regression

37. Post-approval Studies for Rare Disease Treatments and Orphan Drugs

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