Psychology and Brain Sciences | Multivariate Analysis
P654 | 25809 | Marks

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).