STA437 Method for Multivariate Data Analysis
Instructor: Mehdi Molkaraie
Course Overview:
Practical techniques for the analysis of multivariate data; fundamental methods of data reduction with an introduction to underlying distribution theory; basic estimation and hypothesis testing for multivariate means and variances; regression coefficients; principal components and partial, multiple and canonical correlations; multivariate analysis of variance; profile analysis and curve fitting for repeated measurements; classification and the linear discriminant function.
Recommend Textbook:
- Richard Johnson and Dean Wichern, Multivariate Statistical Analysis, 6th Edition, Pearson, 2007
- Mathematics for Machine Learning