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00:00
1.
A Digression to Large Sample Theory And Maximum Likelihood Estimator
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00:49
2.
Convergence
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07:20
3.
Useful Results
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10:40
4.
Useful Results
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12:08
5.
Law of Large Number
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16:56
6.
Consistency of LS Estimator
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16:59
7.
Law of Large Number
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18:53
8.
Law of Large Number
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19:37
9.
Consistency of LS Estimator
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25:47
10.
Central Limit Theorem
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33:25
11.
Maximum Likelihood Estimation
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38:16
12.
Properties of MLE
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41:39
13.
Estimation of Variance of MLE
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42:21
14.
Tests Based on MLE
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45:24
15.
Tests Based on MLE
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45:26
16.
Tests Based on MLE
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46:38
17.
Tests Based on MLE
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47:26
18.
Tests Based on MLE
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47:34
19.
Tests Based on MLE
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50:27
20.
Ex.: Poisson Distribution
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56:17
21.
Example: Poisson Distribution Wald Test
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59:16
22.
Example: Poisson Distribution Lagrange Multiplier Test
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1:02:23
23.
Example: Normal Distribution
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1:04:55
24.
Example: Normal Distribution
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1:05:03
25.
Example: Normal Distribution
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1:05:57
26.
Example: Normal Distribution
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1:10:45
27.
Example: Normal Distribution
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1:11:33
28.
Example: Normal Distribution
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1:11:50
29.
Example: Normal Distribution
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1:11:51
30.
Example: Normal Distribution
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1:11:57
31.
Example: Normal Distribution
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1:11:57
32.
Example: Normal Distribution
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1:12:22
33.
Example: Normal Distribution
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1:12:23
34.
Example: Normal Distribution
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1:12:25
35.
Example: Normal Distribution
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1:12:37
36.
Example: Normal Distribution