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STAT 6130

Applied Multivariate Statistics

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Course Description

Prerequisites

Graduate standing in Statistics, or instructor permission

This course develops fundamental methodology to the analysis of multivariate data. Topics include the multivariate normal distributions, multivariate regression, multivariate analysis of variance (MANOVA), principal components analysis, factor analysis, and discriminant analysis. Conceptual discussion in lectures is supplemented with hands-on practice in applied data-analysis tasks using SAS or R statistical software.

Instructors

Fall 2026 Last 5 Years

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