Multivariate Analysis

What it covers

The course will cover both extensions of univariate techniques such as estimation, hypothesis testing, and techniques unique to the multivariate setting such as the dimension reduction method of principal components analysis. Group structure in multivariate measurements will be explored with principal component analysis, factor analysis, discriminant analysis and cluster analysis. Skills will be developed with SAS, a leading statistical analysis software package. Please note that if you take this course for a bachelor honours program, your overall mark in this course will be one of the course marks that will be used to calculate the weighted average mark (WAM) that will determine your award level. See the WAM information web page for more information.

Assessment

Assessment not published yet.

When and where