Multivariate Data Analysis
Multivariate normal distribution, Hotelling's T-squared distribution, data reduction techniques including principal component and factor analysis, canonical correlation analysis, discrimination and classification techniques. Intensive use of computer analysis and real data sets. As time permits, advanced topics chosen by instructor. Possible topics include basis functions, derivative estimation, functional principal components, functional linear model. Prerequisites: MATH 163 and MATH 261A (each with a grade of "B" or better), or instructor consent.
Normal Grade Rules