STAT 5564 - Multivariate Analysis

3 Semester Hour(s)

Possible topics to be covered include multivariate descriptive statistics, multivariate normal distribution, analysis of covariance, MANOVA, multivariate regression, principal components, discriminate analysis, cluster analysis, factor analysis. This course contains additional graduate-level content equivalent to a one-hour recitation with the instructor which will further investigate the theoretical aspects of or applications of the topics discussed in the course. Some familiarity with R and SAS is expected.

Prerequisite(s): STAT 4451 or STAT 5551, and STAT 3350