Course Code

DSC 514

Course Title

Statistical Models for Business Applications

Course Credit

3 hours

Prerequisite Course

QUA 501 , DSC 527

Course Level

Level 3  

Course Description

This first course in linear models is designed to present the material related to classical regression as well as relevant modern techniques. The traditional material based on ordinary least squares is blended with the modern methods of diagnosis and combating collinearity. In the area of selecting the optimal subset model, classical and contemporary methodologies are presented. Influence diagnostics to detect data points that exert a disproportionate influence on the regression model are also presented. In addition, procedures that are used when the assumptions of standard methodology are violated are discussed.

Course Material

Reading Recommendation

Course Language

English