Multivariate Statistical Analysis

This course provides you with the foundations of basic multivariate statistical procedures, particularly focusing on analysis techniques (using R software) to handle real data. It includes the extension of univariate methods to the multivariate level such as multivariate regression and multivariate analysis of variance, as well, as one- and two-sample inference for mean vectors and covariance matrices. It further extends to essentially multivariate techniques such as principal components analysis, canonical correlation analysis, classification analysis etc. After taking this course, you are expected to be able to handle, analyse and interpret multivariate data of small to moderate dimensions in real-life problems.