QANL 6675 - Multivariate Analysis

Prerequisite: BANL 6100. The course covers a variety of standard statistical methods used to analyze multivariate data. It emphasizes the implementation and interpretation of these methods across business domains. Topics covered include computation of summary statistics, analysis of categorical data, loglinear models for two- and higher-dimensional contingency tables, the multivariate normal distribution, MANOVA, principal components analysis, factor analysis, and other topics such as canonical correlation and cluster analysis. The R statistical computing package is used throughout. 3 credits.