Unidimensional Analyses. Decriptive and inferential statistics. Nonparametric density estimation via kernel smoothing techniques.
Multidimensional Analyses. Cluster analysis. Finite mixture models. Model selection criteria.
Regression models. Univariate and multivariate linear regression. Least square estimates. Goodness-of-fit measures. Model diagnistick checking. Inference on the parameters of the regression model. Generalized linear model. Nonparametric regression.