STAT 46800 - Applied Multivariate Analysis

Prerequisite(s): STAT 34600 FOR LEVEL UG WITH MIN. GRADE OF C AND STAT 43100 FOR LEVEL UG WITH MIN. GRADE OF C

Credit Hours: 3.00. A detailed exposition of some of the more commonly used multivariate statistical techniques, including the geometric intuition underlying their use. Familiarity with the notation and the basic operations of matrix algebra, and with the standard univariate statistical procedures is assumed. Topics include dimension reduction techniques (principal components, factor analysis, and canonical correlation), clustering, classification, neural network, and structural equation models. Typically offered Fall Spring.

View Class Schedule