STATS 140
Multivariate Statistical Methods
Theory and application of multivariate statistical methods. Topics include statistical inference for the multivariate normal model and its extensions to multiple samples and regression, use of statistical packages for data visualization and reduction, discriminant analysis, cluster analysis, and factor analysis.
Topics
- statistical inference for the multivariate normal model and its extensions to multiple samples and regression
- use of statistical packages for data visualization and reduction
- discriminant analysis
- cluster analysis
- and factor analysis
Topics explicitly listed in official catalogue description
Prerequisites & course information
Theory and application of multivariate statistical methods. Topics include statistical inference for the multivariate normal model and its extensions to multiple samples and regression, use of statistical packages for data visualization and reduction, discriminant analysis, cluster analysis, and factor analysis.
Sources
- Course catalogue ↗2026-2027