Detailed Course Information |
2020 January Semester
Apr 25, 2024 |
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| STAT 675 - Methods for Multivariate Data | ||
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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 Precluded: MATH-475 MATH-499 MATH-675 STAT-475 Students cannot receive credit for the course being described and the course(s) listed as Precluded Restrictions: Must be enrolled in one of the following Levels: Graduate
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