APPLIED MULTIVARIATE STATISTICAL METHODS

Credit Hours: 3 · Graduate

This multidisciplinary course for non-STAT majors will address modern applied multivariate statistical methods used in business, economics, engineering, biomedicine, and the environmental and social sciences. Topics include covariance and correlation matrices, multivariate analysis of variance, unsupervised class discovery, cluster validity, supervised class prediction, classifier ensemble diversity. Recommended Prerequisite(s): Introductory statistics course, such STAT 280 or STAT 305 or STAT 310 or STAT 315 .