SYS 613 - Applied Multivariate Statistics

This course covers the major methods for multivariate data analysis. Topics include multivariate Gaussian distribution, multivariate regression, MANOVA, principal components, factor analysis, canonical correlation, structure equation models, discriminant analysis, and logistic regression. The course illustrates the use of these methods using modern statistical software. Cross-listed as STAT 513. (IR)

Prerequisites & Notes
Prerequisite: SYS 605, SYS 618, or STAT 512.

Credits: 3