[후기작성 연장강의] 김영우 수리통계2

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강좌 커리큘럼

5장 Statistical Estimation

1강 Introduction (1)

31:41
2강 Introduction (2)

32:03
3강 Exponential Family (1)

42:31
4강 Exponential Family (2)

37:34
5강 Exponential Family: Property

44:14
6강 Method-of-moment Estimation

41:01
7강 Least Square Estimation

47:47
8강 Maximum Likelihood Estimation (1)

39:22
9강 Maximum Likelihood Estimation (2)

46:40
10강 Maximum Likelihood Estimation (3)

51:56
11강 Maximum Likelihood Estimation (4)

54:20
12강 Maximum Likelihood Estimation (5)

39:01
13강 Maximum Likelihood Estimation: Asymptotic Theory (1)

46:50
14강 Maximum Likelihood Estimation: Asymptotic Theory (2)

38:16
15강 Maximum Likelihood Estimation: Asymptotic Theory (3)

48:18
16강 Maximum Likelihood Estimation: Asymptotic Theory (4)

46:19
17강 Maximum Likelihood Estimation: Asymptotic Theory (5)

30:57
18강 Maximum Likelihood Estimation: Asymptotic Theory (6)

37:09
19강 Maximum Likelihood Estimation: Asymptotic Theory (7)

45:14
20강 Confidence Interval (1)

34:35
21강 Confidence Interval (2)

37:19
22강 Confidence Interval (3)

33:49
23강 Confidence Interval (4)

25:38
24강 연습문제 풀이 (1)

38:00
25강 연습문제 풀이 (2)

45:05
26강 연습문제 풀이 (3)

26:00
27강 연습문제 풀이 (4)

24:17

6장 Statistical Hypothesis Testing

28강 Introduction

40:20
29강 Likelihood Ratio Test (1)

55:20
30강 Likelihood Ratio Test (2)

44:09
31강 Likelihood Ratio Test (3)

39:47
32강 Likelihood Ratio Test (4)

37:04
33강 Likelihood Ratio Test (5)

27:07
34강 Likelihood Ratio Test (6)

35:36
35강 Likelihood Ratio Test: Asymptotic Theory (1)

46:07
36강 Likelihood Ratio Test: Asymptotic Theory (2)

50:14
37강 연습문제 풀이 (1)

33:39
38강 연습문제 풀이 (2)

59:32
39강 연습문제 풀이 (3)

35:29
40강 연습문제 풀이 (4)

40:55

7장 Comparison Between Estimators

41강 Introduction

48:44
42강 Information Inequality (1)

37:33
43강 Information Inequality (2)

50:12
44강 Sufficient Statistic (1)

43:51
45강 Sufficient Statistic (2)

38:32
46강 Rao-Blackwell Theorem

40:40
47강 Complete Statistic and Ancillary Statistic

47:18
48강 Rao-Blackwell-Lehmann-Scheffe Theorem

48:22
49강 Uniformly Minimum Variance Unbiased Estimator (1)

42:00
50강 Uniformly Minimum Variance Unbiased Estimator (2)

47:29
51강 Uniformly Minimum Variance Unbiased Estimator (3)

41:26
52강 Uniformly Minimum Variance Unbiased Estimator (4)

41:02
53강 Asymptotic Comparison between Estimator

22:05
54강 연습문제 풀이 (1)

21:41
55강 연습문제 풀이 (2)

37:42
56강 연습문제 풀이 (3)

44:18
57강 연습문제 풀이 (4)

29:58
58강 연습문제 풀이 (5)

54:50
59강 연습문제 풀이 (6)

36:57

8장 Optimal Test of Hypothesis

60강 Introduction

36:41
61강 Neyman-Pearson Lemma (1)

37:45
62강 Neyman-Pearson Lemma (2)

21:36
63강 Uniformly Most Powerful Test (1)

43:32
64강 Uniformly Most Powerful Test (2)

40:04
65강 Uniformly Most Powerful Test (3)

21:07
66강 Uniformly Most Powerful Test (4)

33:30
67강 연습문제 풀이 (1)

23:34
68강 연습문제 풀이 (2)

45:31

9장 Inference on Normal Models

69강 Distribution of Quadratic Form

52:07
70강 Noncentral Distribution

50:48
71강 One-way Classification Model (1)

47:25
72강 One-way Classification Model (2)

56:24
73강 One-way Classification Model (3)

23:30
74강 Two-way Classification Model w/o Interaction (1)

44:20
75강 Two-way Classification Model w/o Interaction (2)

28:56
76강 Two-way Classification Model w/ Interaction (1)

34:34
77강 Two-way Classification Model w/ Interaction (2)

23:33
78강 Testing Independence (1)

48:25
79강 Testing Independence (2)

44:02

추가문제 풀이

리뷰

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쏭즈캠퍼스

[후기작성 연장강의] 김영우 수리통계2

강좌 소개

강좌 커리큘럼

5장 Statistical Estimation

1강 Introduction (1)

2강 Introduction (2)

3강 Exponential Family (1)

4강 Exponential Family (2)

5강 Exponential Family: Property

6강 Method-of-moment Estimation

7강 Least Square Estimation

8강 Maximum Likelihood Estimation (1)

9강 Maximum Likelihood Estimation (2)

10강 Maximum Likelihood Estimation (3)

11강 Maximum Likelihood Estimation (4)

12강 Maximum Likelihood Estimation (5)

13강 Maximum Likelihood Estimation: Asymptotic Theory (1)

14강 Maximum Likelihood Estimation: Asymptotic Theory (2)

15강 Maximum Likelihood Estimation: Asymptotic Theory (3)

16강 Maximum Likelihood Estimation: Asymptotic Theory (4)

17강 Maximum Likelihood Estimation: Asymptotic Theory (5)

18강 Maximum Likelihood Estimation: Asymptotic Theory (6)

19강 Maximum Likelihood Estimation: Asymptotic Theory (7)

20강 Confidence Interval (1)

21강 Confidence Interval (2)

22강 Confidence Interval (3)

23강 Confidence Interval (4)

24강 연습문제 풀이 (1)

25강 연습문제 풀이 (2)

26강 연습문제 풀이 (3)

27강 연습문제 풀이 (4)

6장 Statistical Hypothesis Testing

28강 Introduction

29강 Likelihood Ratio Test (1)

30강 Likelihood Ratio Test (2)

31강 Likelihood Ratio Test (3)

32강 Likelihood Ratio Test (4)

33강 Likelihood Ratio Test (5)

34강 Likelihood Ratio Test (6)

35강 Likelihood Ratio Test: Asymptotic Theory (1)

36강 Likelihood Ratio Test: Asymptotic Theory (2)

37강 연습문제 풀이 (1)

38강 연습문제 풀이 (2)

39강 연습문제 풀이 (3)

40강 연습문제 풀이 (4)

7장 Comparison Between Estimators

41강 Introduction

42강 Information Inequality (1)

43강 Information Inequality (2)

44강 Sufficient Statistic (1)

45강 Sufficient Statistic (2)

46강 Rao-Blackwell Theorem

47강 Complete Statistic and Ancillary Statistic

48강 Rao-Blackwell-Lehmann-Scheffe Theorem

49강 Uniformly Minimum Variance Unbiased Estimator (1)

50강 Uniformly Minimum Variance Unbiased Estimator (2)

51강 Uniformly Minimum Variance Unbiased Estimator (3)

52강 Uniformly Minimum Variance Unbiased Estimator (4)

53강 Asymptotic Comparison between Estimator

54강 연습문제 풀이 (1)

55강 연습문제 풀이 (2)

56강 연습문제 풀이 (3)

57강 연습문제 풀이 (4)

58강 연습문제 풀이 (5)

59강 연습문제 풀이 (6)

8장 Optimal Test of Hypothesis

60강 Introduction

61강 Neyman-Pearson Lemma (1)

62강 Neyman-Pearson Lemma (2)

63강 Uniformly Most Powerful Test (1)

64강 Uniformly Most Powerful Test (2)

65강 Uniformly Most Powerful Test (3)

66강 Uniformly Most Powerful Test (4)

67강 연습문제 풀이 (1)

68강 연습문제 풀이 (2)

9장 Inference on Normal Models

69강 Distribution of Quadratic Form

70강 Noncentral Distribution

71강 One-way Classification Model (1)