ntroduction to modeling multivariate structural and residual variation, using exploratory data analysis, nonparametric regression, dependence regression, and factor analytic models, with a goal of producing robust, generalizable multivariate models that support research findings. Statistical analyses will be performed in the free general public licensed R statistical software with references to Minitab and SPSS.
Multivariate Statistics for Engineering
Old Dominion University
ENMA 820 CRN 18259
Cotter, Steven (TCOTTER@ODU.EDU)