Autumn 2023 STAT 34300

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.