Short pages

Showing below up to 50 results in range #51 to #100.

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

51. (hist) ‎Lecture 14. C) Convergence in Distribution ‎[2,267 bytes]
52. (hist) ‎Lecture 14. B) Law of Large Numbers ‎[2,275 bytes]
53. (hist) ‎Lecture 11. A) Hypothesis Testing ‎[2,286 bytes]
54. (hist) ‎Lecture 5. C) Multiple Random Variables ‎[2,356 bytes]
55. (hist) ‎Lecture 10. A) Finding UMVU Estimators ‎[2,358 bytes]
56. (hist) ‎Lecture 12. H) Equivalence Between LRT and Wald Tests ‎[2,369 bytes]
57. (hist) ‎Lecture 6. G) Some Inequalities ‎[2,423 bytes]
58. (hist) ‎Lecture 1. A) Sample Space ‎[2,436 bytes]
59. (hist) ‎Lecture 4. D) Poisson ‎[2,462 bytes]
60. (hist) ‎Lecture 12. J) Neyman-Pearson Lemma ‎[2,466 bytes]
61. (hist) ‎Lecture 16. E) Normal Distribution ‎[2,467 bytes]
62. (hist) ‎Lecture 9. F) Factorization Theorem ‎[2,485 bytes]
63. (hist) ‎Lecture 5. B) Chebychev's Inequality ‎[2,673 bytes]
64. (hist) ‎Lecture 7. C) Order Statistics ‎[2,718 bytes]
65. (hist) ‎Lecture 12. I) Optimal Tests ‎[2,721 bytes]
66. (hist) ‎Lecture 18. A) Multicollinearity ‎[2,721 bytes]
67. (hist) ‎Lecture 9. A) Point Estimation (cont.) ‎[2,909 bytes]
68. (hist) ‎Lecture 17. D) Bootstrapping ‎[2,924 bytes]
69. (hist) ‎Lecture 12. B) Likelihood-Ratio Test ‎[2,955 bytes]
70. (hist) ‎Lecture 12. G) Equivalence Between LRT and LM Tests ‎[3,163 bytes]
71. (hist) ‎Lecture 1. E) More on Probability Functions ‎[3,243 bytes]
72. (hist) ‎Lecture 16. B) Example: Coin Tossing ‎[3,265 bytes]
73. (hist) ‎Lecture 11. B) Testing Procedure ‎[3,327 bytes]
74. (hist) ‎Lecture 17. A) Ordinary Least Squares ‎[3,399 bytes]
75. (hist) ‎Lecture 16. C) A More General Example ‎[3,461 bytes]
76. (hist) ‎Lecture 9. E) Rao-Blackwell ‎[3,498 bytes]
77. (hist) ‎Lecture 4. F) Gamma ‎[3,758 bytes]
78. (hist) ‎Lecture 15. C) Example: Hypothesis Test ‎[3,874 bytes]
79. (hist) ‎Lecture 16. G) Multiple Observations ‎[3,936 bytes]
80. (hist) ‎Lecture 1. B) Probability Function ‎[3,939 bytes]
81. (hist) ‎Lecture 11. G) Setting the Critical Value ‎[3,944 bytes]
82. (hist) ‎Lecture 4. H) Dirac delta function ‎[3,966 bytes]
83. (hist) ‎Lecture 13. D) 2-sided Tests and Unbiased Tests ‎[4,048 bytes]
84. (hist) ‎Lecture 11. C) Variation on a Theme ‎[4,064 bytes]
85. (hist) ‎Lecture 14. E) Central Limit Theorem ‎[4,168 bytes]
86. (hist) ‎Lecture 18. C) Gauss-Markov Theorem ‎[4,180 bytes]
87. (hist) ‎Lecture 12. E) Example: LRT ‎[4,207 bytes]
88. (hist) ‎Lecture 13. E) p-value ‎[4,224 bytes]
89. (hist) ‎Lecture 11. D) Testing Errors ‎[4,309 bytes]
90. (hist) ‎Lecture 10. C) Cramer-Rao Lower Bound ‎[4,328 bytes]
91. (hist) ‎Lecture 11. F) Example 1 ‎[4,334 bytes]
92. (hist) ‎Lecture 1. F) Random Variables ‎[4,452 bytes]
93. (hist) ‎Lecture 2. C) Transformations of Random Variables ‎[4,455 bytes]
94. (hist) ‎Lecture 1. C) Domain of Probability Function ‎[4,829 bytes]
95. (hist) ‎Lecture 14. F) Delta Method ‎[4,835 bytes]
96. (hist) ‎Lecture 7. B) Statistics ‎[4,898 bytes]
97. (hist) ‎Lecture 13. G) Interval Estimation/Confidence Intervals ‎[5,071 bytes]
98. (hist) ‎Lecture 9. D) Sufficient Statistics ‎[5,114 bytes]
99. (hist) ‎Lecture 2. A) Random Variables (cont.) ‎[5,208 bytes]
100. (hist) ‎Lecture 8. C) Maximum Likelihood ‎[5,244 bytes]

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