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23. Generalized Linear Models (cont.)
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Classroom Contents
Statistics for Applications
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- 1 1. Introduction to Statistics
- 2 2. Introduction to Statistics (cont.)
- 3 3. Parametric Inference
- 4 4. Parametric Inference (cont.) and Maximum Likelihood Estimation
- 5 5. Maximum Likelihood Estimation (cont.)
- 6 6. Maximum Likelihood Estimation (cont.) and the Method of Moments
- 7 7. Parametric Hypothesis Testing
- 8 8. Parametric Hypothesis Testing (cont.)
- 9 9. Parametric Hypothesis Testing (cont.)
- 10 11. Parametric Hypothesis Testing (cont.) and Testing Goodness of Fit
- 11 12. Testing Goodness of Fit (cont.)
- 12 13. Regression
- 13 14. Regression (cont.)
- 14 15. Regression (cont.)
- 15 17. Bayesian Statistics
- 16 18. Bayesian Statistics (cont.)
- 17 19. Principal Component Analysis
- 18 20. Principal Component Analysis (cont.)
- 19 21. Generalized Linear Models
- 20 22. Generalized Linear Models (cont.)
- 21 23. Generalized Linear Models (cont.)
- 22 24. Generalized Linear Models (cont.)
