About This Course

45 Hours; 3 Credits
Analysis of categorical data. Loglinear models for contingency tables. Logistic regression models. Aspects of multivariate analysis, multivariate normal distribution, MANOVA. Analysis of covariance, principal components, factor analysis. Classification and grouping techniques, discriminant function analysis, multidimensional scaling. Statistical computing.