Multivariate Analysis
Statistical Science 9848A
Description: We will cover the following topics after reviewing some basic definitions and results in linear algebra: multivariate distributions including the multivariate normal distribution and its properties; linear transformations; characteristic functions; estimation of mean vectors and covariance matrices; likelihood ratio tests; principal components; quadratic forms and their properties; the Wishart distribution; Hotelling’s T2 distribution; multivariate analysis of variance; regression: multiple correlation.. Other topics may be added as time permits.
Term: A
Outlines of this course offered in past school years
Course | Instructor(s) | Outline | Term | School Year |
SS9848B001 | Serge Provost | B | 2017/2018 |