Applied Multivariate Statistical Methods (STAT*4350)
Code and section: STAT*4350*01
Term: Fall
Details
This course introduces the multivariate normal, and Wishart and Hotelling's T-square distributions. Topics covered include: statistical inference on the mean vector, canonical correlation, multivariate analysis of variance and covariance, multivariate regression, principal components analysis, and factor analysis. Topics will be illustrated using examples from various disciplines.
Syllabus
| Attachment | Size |
|---|---|
 Course Outline (Winter 2016) | 417.27 KB |
| Course Outline (Fall 2016) | 47.44 KB |
| Course Outline (Fall 2017) | 136.72 KB |
| Course Outline (Fall 2018) | 150.15 KB |
| Course Outline (Fall 2019) | 430.72 KB |
| Course Outline (Fall 2020) | 137.72 KB |
| Course Outline (Fall 2021) | 191.27 KB |
| Course Outline (Fall 2022) | 88.15 KB |
| Course Outline (Fall 2023) | 276.54 KB |