2018-2019 Undergraduate & Graduate Catalog
STA 426 - Multivariate Data Analysis
Multivariate analysis with emphasis on application using a statistical package such as SAS or SPSS. Topics include principle components analysis, factor analysis, discriminant analysis, logistic regression, cluster analysis, multivariate analysis of variance, and canonical correlation analysis. Cross-listed with STA 526. Offered fall semester on sufficient demand. Prerequisite: STA 216.
Credits: 3