STAT 450 - Applied Multivariate Statistical Analysis

(3 units)

Prerequisite: STAT 381.
Basic concepts and applications of multivariate methods including inferences about mean vectors and covariance matrices; multivariate regression; multivariate analysis of variance; data reduction using principal components, factor and cluster analysis; classification using discriminant analysis and logistic regression. Statistical software used.

Letter grade only (A-F). (Lecture 3 hours) Not open for credit to students with credit in STAT 550.