Multivariate Analysis and Stochastic Models

In the first part, the course includes: Experimental design, statistical estimation and hypothesis testing from multivariate distribution. Topics covered will include: regression models, multivariate analysis of variance, canonical correlations, classification procedures and factor analysis. Computer applications of these techniques will be examined. In the second part, the course covers an introduction to the probabilistic and statistical concepts used in the day- to-day decisions of the probabilistic (stochastic) models that are frequently used in managerial decision making in problems that include uncertainties.