Multivariate Analysis

This course covers experimental design (one-way and two-way with interactions) as an introduction, aspects of multivariate analysis, the multivariate normal distribution, inference about a mean vector, and MANOVA. In the second portion, topics such as principal components, factor analysis, canonical correlation analysis, and discrimination are presented. PREREQ: MATH 3236 and MATH 3237. (lec 3) cr 3.

Mathematics & Computer Science