Lecture Notes
- Lecture 01: Introduction
- Lecture 02: Matrix Operations
- Lecture 03: Random Vectors/Matrices
- Lecture 04: A Random Sample from a Multivariate Normal
- Lecture 05: Multivariate Normal Distribution
- Lecture 06: The Sample Covariance Matrix and Wishart Distribution
- Lecture 07: Inference of Mean Vectors: Hotelling’s T^2
- Lecture 08: Multivariate Analysis of Variance
- Lecture 09: Use Simulations To Evaluate Statistical Methods