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2020 May Semester
Jan 21, 2020
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STAT 675 - Methods for Multivariate Data
This course discusses practical techniques for the analysis of multivariate data. Topics covered include estimation and hypothesis testing for multivariate means and variances; partial, multiple and canonical correlations; principal components analysis and factor analysis for data reduction; multivariate analysis of variance; discriminant analysis for classification; and cluster analysis.
Credits: 3.000

Levels: Graduate
Schedule Types: Lecture, Final Exam

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