STA 5650 - Multivariate Data Analysis (3)

Multivariate distribution. Variance-covariance matrices. Multivariate Normal distribution,. Inference about a mean vector. Multivariate Regression, MANOVA, Classification and Discriminant analysis, Principal components, Factor analysis and Clustering. Use of computer package such as SAS or R.

Prerequisite(s): Graduate standing or C or better in STA 2100, STA 341, STA 2260, STA 326, TOM 3020, TOM 302, EC 3322, EC 322, IME 3140, or IME 314; and MAT 2250 or MAT 208.
Component(s): Lecture
Grading Basis: Graded Only
Repeat for Credit: May be taken only once
Course Category: Major Course