Apr 20, 2024  
Graduate Record 2020-2021 
    
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Graduate Record 2020-2021 [ARCHIVED RECORD]

STAT 6130 - Applied Multivariate Statistics

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. Prerequisite: Graduate standing in Statistics, or instructor permission.



Credits: 3