Multivariate Statistics: 3 hours

Catalog description

(Prerequisite: ST 4113 ). Three hours lecture. This course introduces the fundamental concepts and methods of multivariate statistical analysis—an essential collection of techniques for studying data sets with multiple, often correlated variables. The focus is on the practical application of these methods using the statistical computing language R, while also covering the motivating theory and underlying assumptions. Topics include the multivariate normal distribution, hypothesis testing, multivariate regression, multivariate analysis of variance (MANOVA), methods for dimension reduction, clustering, and classification