[후기작성 연장강의] 김영우 수리통계1

강좌 소개

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강좌 커리큘럼

1장 Probability and Distribution

1강 Probability Measure: Axiom

48:51
2강 Probability Measure: Property

56:23
3강 Conditional Probability

45:41
4강 Independent Event

35:10
5강 Random Variable and Distribution

38:20
6강 Cumulative Distribution Function (1)

46:11
7강 Cumulative Distribution Function (2) & Discrete Random Variable (1)

41:34
8강 Discrete Random Variable (2) & Continuous Random Variable

54:24
9강 Expectation (1)

45:47
10강 Expectation (2) & Moment Generating Function (1)

48:48
11강 Moment Generating Function (2)

40:42
12강 Moment Generating Function (3)

21:33
13강 Jensen and Lyapunov Inequality

38:17
14강 Markov, Chebyshev and Cauchy-Schwarz Inequality

27:53
15강 연습문제 풀이 (1)

40:38
16강 연습문제 풀이 (2)

35:02
17강 연습문제 풀이 (3)

44:19
18강 연습문제 풀이 (4)

31:38
19강 연습문제 풀이 (5)

25:42

2장 Multivariate Distribution

20강 Bivariate Random Vector and Joint Distribution

43:20
21강 Joint Cumulative Distribution Function

37:29
22강 Discrete Bivariate Random Vector

26:10
23강 Continuous Bivariate Random Vector

31:30
24강 Marginal Distribution

42:52
25강 Expectation

34:05
26강 Covariance and Correlation

52:57
27강 Joint Moment Generating Function (1)

27:25
28강 Joint Moment Generating Function (2)

31:49
29강 Conditional Distribution

45:08
30강 Conditional Expectation (1)

26:07
31강 Conditional Expectation (2)

38:34
32강 Conditional Expectation (3)

34:17
33강 Independent Random Variable (1)

51:03
34강 Independent Random Variable (2)

40:31
35강 Independent Random Variable (3)

24:15
36강 Multivariate Random Vector

43:05
37강 Expectation

44:28
38강 Mean Vector and Covariance Matrix

50:59
39강 Joint Moment Generating Function

33:19
40강 Conditional Distribution and Conditional Expectation

31:39
41강 Independent Random Vector

31:07
42강 Multivariate Random Vector: Example

47:31
43강 연습문제 풀이 (1)

39:25
44강 연습문제 풀이 (2)

41:05
45강 연습문제 풀이 (3)

44:51
46강 연습문제 풀이 (4)

39:35
47강 연습문제 풀이 (5)

43:21
48강 연습문제 풀이 (6)

27:08

3장 Some Special Distributions

49강 Transformation of Random Variable (1)

45:23
50강 Transformation of Random Variable (2)

40:50
51강 Transformation of Random Variable (3)

19:31
52강 Binomial Distribution

40:15
53강 Geometric Distribution & Negative Binomial Distribution (1)

41:48
54강 Negative Binomial Distribution (2) & Multinomial Distribution (1)

52:08
55강 Multinomial Distribution (4)

43:38
56강 Poisson Distribution and Poisson Process (1)

38:13
57강 Poisson Distribution and Poisson Process (2)

32:28
58강 Exponential Distribution and Gamma Distribution

00:00
59강 Gamma Distribution and Poisson Process

46:05
60강 Beta Distribution

24:14
61강 Dirichlet Distribution

33:33
62강 Normal Distribution & Chi-squared Distribution (1)

41:08
63강 Chi-squared Distribution (2) & t-distribution (1)

46:38
64강 t-distribution (2) & F-distribution

36:15
65강 Multivariate Normal Distribution (1)

43:58
66강 Multivariate Normal Distribution (2)

36:52
67강 Multivariate Normal Distribution (3)

32:25
68강 Uniform Distribution

35:56
69강 Ordered Statistics (1)

46:38
70강 Ordered Statistics (2)

30:18
71강 Ordered Statistics (3)

40:31
72강 연습문제 풀이 (1)

20:41
73강 연습문제 풀이 (2)

39:45
74강 연습문제 풀이 (3)

37:13
75강 연습문제 풀이 (4)

49:18
76강 연습문제 풀이 (5)

37:47
77강 연습문제 풀이 (6)

41:21

4장 Limit of Random Variables

78강 Review of Mathematical Analysis (1)

40:14
79강 Review of Mathematical Analysis (2)

36:36
80강 Review of Mathematical Analysis (3)

20:13
81강 Convergence in Probability

38:41
82강 Convergence in Probability: Property

50:14
83강 Convergence in Probability and Convergence in L2

36:24
84강 Weak Law of Large Number

40:57
85강 Bounded in Probability

35:38
86강 Big Op and Little op

42:21
87강 Convergence in Distribution

41:37
88강 Convergence in Distribution: Property (1)

42:36
89강 Convergence in Distribution: Property (2)

47:24
90강 Central Limit Theorem (1)

40:16
91강 Central Limit Theorem (2)

45:30
92강 Delta Method (1)

43:44
93강 Delta Method (2)

52:25
94강 연습문제 풀이 (1)

36:24
95강 연습문제 풀이 (2)

36:40
96강 연습문제 풀이 (3)

24:39
97강 연습문제 풀이 (4)

48:59

추가문제 풀이

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[후기작성 연장강의] 김영우 수리통계1

강좌 소개

강좌 커리큘럼

1장 Probability and Distribution

1강 Probability Measure: Axiom

2강 Probability Measure: Property

3강 Conditional Probability

4강 Independent Event

5강 Random Variable and Distribution

6강 Cumulative Distribution Function (1)

7강 Cumulative Distribution Function (2) & Discrete Random Variable (1)

8강 Discrete Random Variable (2) & Continuous Random Variable

9강 Expectation (1)

10강 Expectation (2) & Moment Generating Function (1)

11강 Moment Generating Function (2)

12강 Moment Generating Function (3)

13강 Jensen and Lyapunov Inequality

14강 Markov, Chebyshev and Cauchy-Schwarz Inequality

15강 연습문제 풀이 (1)

16강 연습문제 풀이 (2)

17강 연습문제 풀이 (3)

18강 연습문제 풀이 (4)

19강 연습문제 풀이 (5)

2장 Multivariate Distribution

20강 Bivariate Random Vector and Joint Distribution

21강 Joint Cumulative Distribution Function

22강 Discrete Bivariate Random Vector

23강 Continuous Bivariate Random Vector

24강 Marginal Distribution

25강 Expectation

26강 Covariance and Correlation

27강 Joint Moment Generating Function (1)

28강 Joint Moment Generating Function (2)

29강 Conditional Distribution

30강 Conditional Expectation (1)

31강 Conditional Expectation (2)

32강 Conditional Expectation (3)

33강 Independent Random Variable (1)

34강 Independent Random Variable (2)

35강 Independent Random Variable (3)

36강 Multivariate Random Vector

37강 Expectation

38강 Mean Vector and Covariance Matrix

39강 Joint Moment Generating Function

40강 Conditional Distribution and Conditional Expectation

41강 Independent Random Vector

42강 Multivariate Random Vector: Example

43강 연습문제 풀이 (1)

44강 연습문제 풀이 (2)

45강 연습문제 풀이 (3)

46강 연습문제 풀이 (4)

47강 연습문제 풀이 (5)

48강 연습문제 풀이 (6)

3장 Some Special Distributions

49강 Transformation of Random Variable (1)

50강 Transformation of Random Variable (2)

51강 Transformation of Random Variable (3)

52강 Binomial Distribution

53강 Geometric Distribution & Negative Binomial Distribution (1)

54강 Negative Binomial Distribution (2) & Multinomial Distribution (1)

55강 Multinomial Distribution (4)

56강 Poisson Distribution and Poisson Process (1)

57강 Poisson Distribution and Poisson Process (2)

58강 Exponential Distribution and Gamma Distribution

59강 Gamma Distribution and Poisson Process

60강 Beta Distribution

61강 Dirichlet Distribution

62강 Normal Distribution & Chi-squared Distribution (1)

63강 Chi-squared Distribution (2) & t-distribution (1)

64강 t-distribution (2) & F-distribution

65강 Multivariate Normal Distribution (1)

66강 Multivariate Normal Distribution (2)

67강 Multivariate Normal Distribution (3)

68강 Uniform Distribution

69강 Ordered Statistics (1)

70강 Ordered Statistics (2)

71강 Ordered Statistics (3)

72강 연습문제 풀이 (1)

73강 연습문제 풀이 (2)