Multivariate Analysis
Methods for many variables at once: principal components, factor analysis, discriminant analysis and clustering.
STAT-411 Year 4 3 credits 12 lessons planned ▶ Video lessons coming soon
Offered by HSM University · Statistics
Course content
- 1Multivariate data and graphicsComing
- 2The multivariate normal and inference on meansComing
- 3Hotelling's T-squared and MANOVAComing
- 4Principal component analysisComing
- 5Factor analysisComing
- 6Canonical correlationComing
- 7Discriminant analysisComing
- 8Distance measures and multidimensional scalingComing
- 9Hierarchical clusteringComing
- 10K-means and model-based clusteringComing
- 11Correspondence analysisComing
- 12Capstone: a multivariate study of survey dataComing
Requirements
Recommended background. You can start any course at any time.
Description
Methods for many variables at once: principal components, factor analysis, discriminant analysis and clustering.
Part of the Science stream, typically taken in year 4.