Advanced Regression Models

Catalog description

The topics to be included in this class are the following: Statistical inference (maximum likelihood estimation, least-squares estimation, subset selection methods, fitting and test of models, association and causality, statistical vs. deterministic models, graphical analysis and visualization, correlations, confounding and interaction, dummy variables, analysis of co-variance, diagnosis, polynomial regression, ordinal logistic regression, poisson regressions, times series analysis and panel data.