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STA 4702/5701 Applied Multivariate Analysis


New Handout attached Check the lecture notes

Course Description :
This course provides an introduction to multivariate statistics, with an emphasis on descriptive and exploratory methods. We begin the semester with an introduction to vectors and matrices. Introduction to multivariate distributions for vectors and matrices is next. We will cover Hotelling’s T-test and multivariate ANOVA. Then, we will move to analyses of interdependence, including methods such as principal components analysis (PCA), multidimensional scaling (MDS), factor analysis and clustering. We will then study canonical correlation and discriminant analysis. If there is time, we will also cover logit choice models, structural equation modeling or other topics of interest to the students. The course is a mix of theory and hands on application to data.

Prerequisites: STA 3024 or STA 4322 or STA 6127 or STA 6167 or STA 4211

Meeting Times: MWF Period 3, Spring 2009

Classroom: TUR 2318

Instructor: Prof. Mary C. Christman, 406 McCarty C, 352-392-1946, Email id : mcxman@ufl.edu

Instructor Office Hours: MWF Period 4 or by appointment

TA: Ji Hyun Song , Griffin Floyd 117A, Email id : song.jihyun@gmail.com

TA Office Hours: MW Period 6 or by appointment


This page was last updated 13 April 2009