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1. Lecture 1. A) Sample Space‏‎ (3 links)
2. Lecture 9. E) Rao-Blackwell‏‎ (3 links)
3. Lecture 9. C) Minimum Variance Estimators‏‎ (3 links)
4. Lecture 4. E) Uniform‏‎ (2 links)
5. Lecture 6. A) Multiple Random Variables (cont.)‏‎ (2 links)
6. Lecture 7. C) Order Statistics‏‎ (2 links)
7. Lecture 9. D) Sufficient Statistics‏‎ (2 links)
8. Lecture 11. C) Variation on a Theme‏‎ (2 links)
9. Lecture 12. D) Wald Test‏‎ (2 links)
10. Lecture 13. A) Test Optimality (cont.)‏‎ (2 links)
11. Lecture 14. D) Slutsky’s Theorem‏‎ (2 links)
12. Lecture 15. D) Example: Exponential Distribution‏‎ (2 links)
13. Lecture 16. E) Normal Distribution‏‎ (2 links)
14. Lecture 1. C) Domain of Probability Function‏‎ (2 links)
15. Lecture 3. B) Moments‏‎ (2 links)
16. Lecture 4. F) Gamma‏‎ (2 links)
17. Lecture 6. C) Conditional Moments‏‎ (2 links)
18. Lecture 11. D) Testing Errors‏‎ (2 links)
19. Lecture 12. E) Example: LRT‏‎ (2 links)
20. Lecture 13. C) Karlin-Rubin Theorem‏‎ (2 links)
21. Lecture 14. E) Central Limit Theorem‏‎ (2 links)
22. Lecture 16. G) Multiple Observations‏‎ (2 links)
23. Lecture 1. D) Probability Space‏‎ (2 links)
24. Lecture 3. A) Expected Value‏‎ (2 links)
25. Lecture 4. G) Normal‏‎ (2 links)
26. Lecture 6. D) Law of Iterated Expectations‏‎ (2 links)
27. Lecture 8. B) Method of Moments‏‎ (2 links)
28. Lecture 11. E) Power Function‏‎ (2 links)
29. Lecture 12. F) Test Equivalence‏‎ (2 links)
30. Lecture 13. D) 2-sided Tests and Unbiased Tests‏‎ (2 links)
31. Lecture 14. F) Delta Method‏‎ (2 links)
32. Lecture 16. B) Example: Coin Tossing‏‎ (2 links)
33. Lecture 17. B) Normal Linear Model‏‎ (2 links)
34. Lecture 1. E) More on Probability Functions‏‎ (2 links)
35. Lecture 6. E) Conditional Variance Identity‏‎ (2 links)
36. Lecture 8. A) Point Estimation‏‎ (2 links)
37. Lecture 10. B) Complete Statistic‏‎ (2 links)
38. Lecture 11. F) Example 1‏‎ (2 links)
39. Lecture 12. G) Equivalence Between LRT and LM Tests‏‎ (2 links)
40. Lecture 13. E) p-value‏‎ (2 links)
41. Lecture 16. A) Bayesian Inference‏‎ (2 links)
42. Lecture 17. A) Ordinary Least Squares‏‎ (2 links)
43. Lecture 4. B) Bernoulli‏‎ (2 links)
44. Lecture 5. B) Chebychev's Inequality‏‎ (2 links)
45. Lecture 6. F) Covariance and Correlation‏‎ (2 links)
46. Lecture 10. A) Finding UMVU Estimators‏‎ (2 links)
47. Lecture 12. H) Equivalence Between LRT and Wald Tests‏‎ (2 links)
48. Lecture 13. F) Some Notes‏‎ (2 links)
49. Lecture 16. C) A More General Example‏‎ (2 links)
50. Lecture 17. C) Asymptotic Properties of OLS‏‎ (2 links)

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