Multivariate Analysis

Catalog description

Multivariate data are characterized by multiple responses. This course concentrates on the mathematical and statistical theory that underlies the analysis of multivariate data. Some important applied methods are covered. Topics include matrix algebra, the multivariate normal model, multivariate t-tests, repeated measures, principal component analysis, factor analysis, canonical correlation analysis, clustering, and discriminant analysis.