Weeks | Topics |
1 |
Introduction
|
2 |
Random Matrices and Vectors
|
3 |
Random Sampling
|
4 |
The Multivariate Normal Distribution and its Properties
|
5 |
sampling and estimation methods in the multivariate normal distribution
|
6 |
the distribution of the sample mean vector and covariance matrix
|
7 |
multivariate data, multivariate normal distribution
|
8 |
compatibility of the vector average inference
|
9 |
multivariate mean vector comparison
|
10 |
Principal Components Analysis
|
11 |
Factor Analysis
|
12 |
Discriminant Analysis
|
13 |
Logistic Regression Analysis
|
14 |
Cluster Analysis
|