MACT 429/4233 - Applied Multivariate Analysis (3 cr.)
Prerequisites
For SSE Students: and either ,
For BUS Students: ECON 3061 and ECON 3081
Description
Techniques of multivariate statistical analysis illustrated by examples from various fields. Topics include: Multivariate normal distribution. Sample geometry and multivariate distances. Inference about a mean vector. Comparison of several multivariate means, variances, and covariances. Detection of multivariate outliers. Principle components. Multidimensional scaling. Factor analysis. Canonical correlation. Discriminant analysis. and Clustering. Course includes an applied project (a thorough analysis of real-life data sets using computer-packaged programs).
When Offered
Offered once a year.
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