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| STAT 46800 - Applied Multivariate Analysis |
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Credit Hours: 3.00. A detailed exposition of some of the more commonly used multivariate statistical techniques, including the geometric intuition underlying their use. Familiarity with the notation and the basic operations of matrix algebra, and with the standard univariate statistical procedures is assumed. Topics include dimension reduction techniques (principal components, factor analysis, and canonical correlation), clustering, classification, neural network, and structural equation models.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Individual Study, Lecture Offered By: Regional Campus Only Course Attributes: Upper Division May be offered at any of the following campuses: Northwest- Westville Northwest- Hammond Learning Outcomes: 1. Investigate multivariate data descriptive techniques. 2. Analyze multivariate random variables. 3. Use multivariate techniques such as principal component analysis, factor analysis and cluster analysis. 4. Use statistical software for data analysis and clearly communicate the results. |
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