STAT 662: Multivariate Statistical Methods
Section InformationStandard techniques of applied multivariate analysis. Topics include review of matrices, T square tests, principle components, multiple regression and general linear models, analysis of variance and covariance, multivariate ANOVA, canonical correlation, discriminant analysis, classification, factor analysis, clustering, and multidimensional scaling. Computer implementation via a statistical package is an integral part of the course.
- STAT 662-001: Multivariate Statistical Methods
- W; 4:30 pm - 7:10 pm
- : 1108
Course Information from University Catalog