Multivariate Statistical Methods

Psychology P654

Spring 2005

Stanley Wasserman (stanwass@indiana.edu)

Examines the principal methods of descriptive and inferential statistics used in the analysis of multiple measurements, emphasizing linear transformations, multivariate normal distributions, principal components, multivariate analysis of variance, canonical correlation and variates, discriminant functions and variates, and conventional procedures of factor analysis; involves both theory and applications, with a strong geometric flavor.

Prerequisites: P553 and P554 or equivalent training in basic

statistical theory and data analysis (such as regression and analysis of variance).