Most transcluded pages

Showing below up to 50 results in range #1 to #50.

View (previous 50 | next 50) (20 | 50 | 100 | 250 | 500)

1. Lecture 11. A) Hypothesis Testing‏‎ (used on 1 page)
2. Lecture 12. J) Neyman-Pearson Lemma‏‎ (used on 1 page)
3. Lecture 15. B) Some Implications‏‎ (used on 1 page)
4. Lecture 18. A) Multicollinearity‏‎ (used on 1 page)
5. Lecture 4. H) Dirac delta function‏‎ (used on 1 page)
6. Lecture 8. B) Method of Moments‏‎ (used on 1 page)
7. Lecture 11. B) Testing Procedure‏‎ (used on 1 page)
8. Lecture 13. A) Test Optimality (cont.)‏‎ (used on 1 page)
9. Lecture 15. C) Example: Hypothesis Test‏‎ (used on 1 page)
10. Lecture 18. B) Partitioned Regression‏‎ (used on 1 page)
11. Lecture 5. A) Families of Distributions‏‎ (used on 1 page)
12. Lecture 8. C) Maximum Likelihood‏‎ (used on 1 page)
13. Lecture 11. C) Variation on a Theme‏‎ (used on 1 page)
14. Lecture 13. B) Example: Normal‏‎ (used on 1 page)
15. Lecture 15. D) Example: Exponential Distribution‏‎ (used on 1 page)
16. Lecture 18. C) Gauss-Markov Theorem‏‎ (used on 1 page)
17. Lecture 5. B) Chebychev's Inequality‏‎ (used on 1 page)
18. Lecture 9. A) Point Estimation (cont.)‏‎ (used on 1 page)
19. Lecture 11. D) Testing Errors‏‎ (used on 1 page)
20. Lecture 13. C) Karlin-Rubin Theorem‏‎ (used on 1 page)
21. Lecture 15. E) Multiple Parameters‏‎ (used on 1 page)
22. Lecture 2. A) Random Variables (cont.)‏‎ (used on 1 page)
23. Lecture 5. C) Multiple Random Variables‏‎ (used on 1 page)
24. Lecture 9. B) Evaluating Estimators‏‎ (used on 1 page)
25. Lecture 11. E) Power Function‏‎ (used on 1 page)
26. Lecture 13. D) 2-sided Tests and Unbiased Tests‏‎ (used on 1 page)
27. Lecture 16. A) Bayesian Inference‏‎ (used on 1 page)
28. Lecture 2. B) Leibniz Rule‏‎ (used on 1 page)
29. Lecture 6. A) Multiple Random Variables (cont.)‏‎ (used on 1 page)
30. Lecture 9. C) Minimum Variance Estimators‏‎ (used on 1 page)
31. Lecture 11. F) Example 1‏‎ (used on 1 page)
32. Lecture 13. E) p-value‏‎ (used on 1 page)
33. Lecture 16. B) Example: Coin Tossing‏‎ (used on 1 page)
34. Lecture 2. C) Transformations of Random Variables‏‎ (used on 1 page)
35. Lecture 6. B) Conditional PMF/PDF‏‎ (used on 1 page)
36. Lecture 9. D) Sufficient Statistics‏‎ (used on 1 page)
37. Lecture 11. G) Setting the Critical Value‏‎ (used on 1 page)
38. Lecture 13. F) Some Notes‏‎ (used on 1 page)
39. Lecture 16. C) A More General Example‏‎ (used on 1 page)
40. Lecture 3. A) Expected Value‏‎ (used on 1 page)
41. Lecture 6. C) Conditional Moments‏‎ (used on 1 page)
42. Lecture 9. E) Rao-Blackwell‏‎ (used on 1 page)
43. Lecture 1. A) Sample Space‏‎ (used on 1 page)
44. Lecture 12. A) Statistical Tests‏‎ (used on 1 page)
45. Lecture 13. G) Interval Estimation/Confidence Intervals‏‎ (used on 1 page)
46. Lecture 16. D) Conjugate Priors‏‎ (used on 1 page)
47. Lecture 3. B) Moments‏‎ (used on 1 page)
48. Lecture 6. D) Law of Iterated Expectations‏‎ (used on 1 page)
49. Lecture 9. F) Factorization Theorem‏‎ (used on 1 page)
50. Lecture 1. B) Probability Function‏‎ (used on 1 page)

View (previous 50 | next 50) (20 | 50 | 100 | 250 | 500)