-
00:00
1.
Review of Matrix Theory and Multivariate Statistics
-
00:57
2.
Basic Matrix Theory
-
01:39
3.
Vector (向量) and Matrix(矩陣)
-
03:19
4.
Important Matrices
-
08:45
5.
Matrix Operation (運算)
-
09:54
6.
Multiplication
-
13:59
7.
Determinant (行列式值)
-
19:25
8.
Inverse Matrix (反(逆)矩陣)
-
24:51
9.
Find the Inverse Matrix for a 3×3 Matrix
-
27:14
10.
Linearly Independent (線性獨立)
-
27:15
11.
Find the Inverse Matrix for a 3×3 Matrix
-
33:57
12.
Linearly Independent (線性獨立)
-
38:30
13.
Rank (秩)
-
42:46
14.
Positive (Negative) Definite Matrix (正定義)
-
48:49
15.
Some Useful Formula
-
51:23
16.
Latent (Characteristic) Root
-
57:55
17.
An Example of Eigen Value (1)
-
1:00:36
18.
An Example of Eigen Value (2)
-
1:03:57
19.
An Example of Eigen Value (3)
-
1:05:30
20.
Properties of Eigen Value
-
1:09:11
21.
Derivative of matrix
-
1:12:53
22.
Derivative of Matrix
-
1:13:01
23.
Derivative of matrix
-
1:13:07
24.
Derivative of Matrix
-
1:18:02
25.
Multivariate Statistics
-
1:18:06
26.
Multivariate Statistics
-
1:18:17
27.
Expected Value and Variance of a Random Vector
-
1:21:27
28.
2 Random Variable Case
-
1:25:35
29.
Multivariate Normal Distribution
-
1:29:15
30.
Proof of Y=𝐶𝑋+𝐵, Y~N(C𝜇+B, CΣC′),
-
1:31:01
31.
Standard Normal Distribution
-
1:31:03
32.
Proof of Y=𝐶𝑋+𝐵, Y~N(C𝜇+B, CΣC′),
-
1:34:05
33.
Standard Normal Distribution
-
1:37:38
34.
Function of Normal Distribution RV
-
1:40:02
35.
An Example of Testing the Mean
-
1:42:13
36.
An Example of Testing the Mean
-
1:46:55
37.
What If 𝜎 2 Is Unknown
-
1:49:47
38.
What If We Need to Test Two Hypotheses Jointly?
-
1:54:04
39.
Chi-Square Distribution from Normal Distribution
-
1:54:56
40.
What If We Need to Test Two Hypotheses Jointly?
-
1:55:00
41.
Chi-Square Distribution from Normal Distribution
-
1:55:26
42.
What If We Need to Test Two Hypotheses Jointly?
-
1:55:44
43.
Chi-Square Distribution from Normal Distribution
- 索引
- 筆記
- 討論
- 全螢幕
metrics-1-2-review of matrix theory and mutivariate statistics
長度: 1:58:21, 瀏覽: 3180, 最近修訂: 2022-09-09
-
00:00
1.
Review of Matrix Theory and Multivariate Statistics
-
00:57
2.
Basic Matrix Theory
-
01:39
3.
Vector (向量) and Matrix(矩陣)
-
03:19
4.
Important Matrices
-
08:45
5.
Matrix Operation (運算)
-
09:54
6.
Multiplication
-
13:59
7.
Determinant (行列式值)
-
19:25
8.
Inverse Matrix (反(逆)矩陣)
-
24:51
9.
Find the Inverse Matrix for a 3×3 Matrix
-
27:14
10.
Linearly Independent (線性獨立)
-
27:15
11.
Find the Inverse Matrix for a 3×3 Matrix
-
33:57
12.
Linearly Independent (線性獨立)
-
38:30
13.
Rank (秩)
-
42:46
14.
Positive (Negative) Definite Matrix (正定義)
-
48:49
15.
Some Useful Formula
-
51:23
16.
Latent (Characteristic) Root
-
57:55
17.
An Example of Eigen Value (1)
-
1:00:36
18.
An Example of Eigen Value (2)
-
1:03:57
19.
An Example of Eigen Value (3)
-
1:05:30
20.
Properties of Eigen Value
-
1:09:11
21.
Derivative of matrix
-
1:12:53
22.
Derivative of Matrix
-
1:13:01
23.
Derivative of matrix
-
1:13:07
24.
Derivative of Matrix
-
1:18:02
25.
Multivariate Statistics
-
1:18:06
26.
Multivariate Statistics
-
1:18:17
27.
Expected Value and Variance of a Random Vector
-
1:21:27
28.
2 Random Variable Case
-
1:25:35
29.
Multivariate Normal Distribution
-
1:29:15
30.
Proof of Y=𝐶𝑋+𝐵, Y~N(C𝜇+B, CΣC′),
-
1:31:01
31.
Standard Normal Distribution
-
1:31:03
32.
Proof of Y=𝐶𝑋+𝐵, Y~N(C𝜇+B, CΣC′),
-
1:34:05
33.
Standard Normal Distribution
-
1:37:38
34.
Function of Normal Distribution RV
-
1:40:02
35.
An Example of Testing the Mean
-
1:42:13
36.
An Example of Testing the Mean
-
1:46:55
37.
What If 𝜎 2 Is Unknown
-
1:49:47
38.
What If We Need to Test Two Hypotheses Jointly?
-
1:54:04
39.
Chi-Square Distribution from Normal Distribution
-
1:54:56
40.
What If We Need to Test Two Hypotheses Jointly?
-
1:55:00
41.
Chi-Square Distribution from Normal Distribution
-
1:55:26
42.
What If We Need to Test Two Hypotheses Jointly?
-
1:55:44
43.
Chi-Square Distribution from Normal Distribution
- 位置
-
- 資料夾名稱
- 計量理論
- 發表人
- 李阿乙
- 單位
- powercam.fju.edu.tw (root)
- 建立
- 2022-09-09 12:03:35
- 最近修訂
- 2022-09-09 13:13:35
- 長度
- 1:58:21