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Apr 19, 2024
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STAT 679 - Multivariate Statistical Modeling3 Credit Hours
Modern information based techniques and model selection in multivariate analysis, informational tests of significance with multivariate data, multivariate analysis of variance, multivariate regression and variable selection, multisample cluster analysis, common principal component model, factor analysis model, covariance structural models with latent variables, mixture-model cluster analysis.
Recommended Background: Matrix algebra and 564 or matrix-based linear models with experience in interactive computing or consent of instructor.
Registration Restriction(s): Minimum student level – graduate.
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