Course: STAT 34300
Title: Applied Linear Stat Methods
Instructor(s): Nikolaos Ignatiadis
Teaching Assistant(s): Sean O’Hagan, Wentao Hu, Vasileios Katsianos
Class Schedule: MW 1:30 PM-2:50 PM in Eckhart 133
Description: This course introduces the theory, methods, and applications of fitting and interpreting multiple regression models. Topics include the examination of residuals, the transformation of data, strategies and criteria for the selection of a regression equation, nonlinear models, biases due to excluded variables and measurement error, and the use and interpretation of computer package regression programs. The theoretical basis of the methods, the relation to linear algebra, and the effects of violations of assumptions are studied. Techniques discussed are illustrated by examples involving both physical and social sciences data.
Textbook(s):