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1. (hist) ‎Lecture 17. B) Normal Linear Model ‎[10,278 bytes]
2. (hist) ‎Lecture 10. B) Complete Statistic ‎[9,913 bytes]
3. (hist) ‎Lecture 8. B) Method of Moments ‎[9,439 bytes]
4. (hist) ‎Lecture 13. F) Some Notes ‎[9,364 bytes]
5. (hist) ‎Lecture 17. C) Asymptotic Properties of OLS ‎[8,555 bytes]
6. (hist) ‎Lecture 3. C) Moment Generating Function ‎[7,452 bytes]
7. (hist) ‎Lecture 18. B) Partitioned Regression ‎[6,685 bytes]
8. (hist) ‎Lecture 2. B) Leibniz Rule ‎[6,544 bytes]
9. (hist) ‎Graduate Level: Intro to Probability and Statistics ‎[6,273 bytes]
10. (hist) ‎Lecture 15. A) Asymptotic Properties of ML Estimators ‎[6,215 bytes]
11. (hist) ‎Lecture 3. B) Moments ‎[6,003 bytes]
12. (hist) ‎Lecture 14. A) Convergence ‎[5,736 bytes]
13. (hist) ‎Lecture 3. A) Expected Value ‎[5,652 bytes]
14. (hist) ‎Lecture 5. A) Families of Distributions ‎[5,606 bytes]
15. (hist) ‎Lecture 9. B) Evaluating Estimators ‎[5,512 bytes]
16. (hist) ‎Lecture 15. E) Multiple Parameters ‎[5,456 bytes]
17. (hist) ‎Lecture 13. B) Example: Normal ‎[5,356 bytes]
18. (hist) ‎Lecture 6. B) Conditional PMF/PDF ‎[5,259 bytes]
19. (hist) ‎Lecture 8. C) Maximum Likelihood ‎[5,244 bytes]
20. (hist) ‎Lecture 2. A) Random Variables (cont.) ‎[5,208 bytes]
21. (hist) ‎Lecture 9. D) Sufficient Statistics ‎[5,114 bytes]
22. (hist) ‎Lecture 13. G) Interval Estimation/Confidence Intervals ‎[5,071 bytes]
23. (hist) ‎Lecture 7. B) Statistics ‎[4,898 bytes]
24. (hist) ‎Lecture 14. F) Delta Method ‎[4,835 bytes]
25. (hist) ‎Lecture 1. C) Domain of Probability Function ‎[4,829 bytes]
26. (hist) ‎Lecture 2. C) Transformations of Random Variables ‎[4,455 bytes]
27. (hist) ‎Lecture 1. F) Random Variables ‎[4,452 bytes]
28. (hist) ‎Lecture 11. F) Example 1 ‎[4,334 bytes]
29. (hist) ‎Lecture 10. C) Cramer-Rao Lower Bound ‎[4,328 bytes]
30. (hist) ‎Lecture 11. D) Testing Errors ‎[4,309 bytes]
31. (hist) ‎Lecture 13. E) p-value ‎[4,224 bytes]
32. (hist) ‎Lecture 12. E) Example: LRT ‎[4,207 bytes]
33. (hist) ‎Lecture 18. C) Gauss-Markov Theorem ‎[4,180 bytes]
34. (hist) ‎Lecture 14. E) Central Limit Theorem ‎[4,168 bytes]
35. (hist) ‎Lecture 11. C) Variation on a Theme ‎[4,064 bytes]
36. (hist) ‎Lecture 13. D) 2-sided Tests and Unbiased Tests ‎[4,048 bytes]
37. (hist) ‎Lecture 4. H) Dirac delta function ‎[3,966 bytes]
38. (hist) ‎Lecture 11. G) Setting the Critical Value ‎[3,944 bytes]
39. (hist) ‎Lecture 1. B) Probability Function ‎[3,939 bytes]
40. (hist) ‎Lecture 16. G) Multiple Observations ‎[3,936 bytes]
41. (hist) ‎Lecture 15. C) Example: Hypothesis Test ‎[3,874 bytes]
42. (hist) ‎Lecture 4. F) Gamma ‎[3,758 bytes]
43. (hist) ‎Lecture 9. E) Rao-Blackwell ‎[3,498 bytes]
44. (hist) ‎Lecture 16. C) A More General Example ‎[3,461 bytes]
45. (hist) ‎Lecture 17. A) Ordinary Least Squares ‎[3,399 bytes]
46. (hist) ‎Lecture 11. B) Testing Procedure ‎[3,327 bytes]
47. (hist) ‎Lecture 16. B) Example: Coin Tossing ‎[3,265 bytes]
48. (hist) ‎Lecture 1. E) More on Probability Functions ‎[3,243 bytes]
49. (hist) ‎Lecture 12. G) Equivalence Between LRT and LM Tests ‎[3,163 bytes]
50. (hist) ‎Lecture 12. B) Likelihood-Ratio Test ‎[2,955 bytes]

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