EDPS 742 Multivariate Statistics and Data Mining
A survey of multivariate statistical techniques including, but not limited to, discriminant function analysis, the multivariate analysis of variance, cluster analysis, latent class and mixture modeling, canonical correlation, generalized additive models, neural networking, and tree based algorithms. Includes practical applications of statistical analyses of educational and psychological data, using software. Prerequisite: EDPS 641 or 642. Prerequisite recommended: EDPS 741.