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STAT 5130

Applied Multivariate Statistics

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Course Description

Pre-Requisite(s): MATH 3351 and 3120 or 5100, or instructor permission; corequisite: STAT 5980

Topics include matrix algebra, random sampling, multivariate normal distributions, multivariate regression, MANOVA, principal components, factor analysis, discriminant analysis. Statistical software, such as SAS or S-PLUS, will be utilized.


  • Feifang Hu
     Rating

    —

     Difficulty

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     GPA

    3.48

     Sections

    —

    Last Taught

    Spring 2013

  • Jeffrey Holt
     Rating

    —

     Difficulty

    —

     GPA

    3.64

     Sections

    —

    Last Taught

    Spring 2012

  • Xiaohui Wang
     Rating

    —

     Difficulty

    4.00

     GPA

    3.28

     Sections

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    Last Taught

    Spring 2011