BST 569 - Linear Statistical Models

Description
The objective of this course is to introduce students to linear regression models (computation, theoretical properties, model interpretation and application). Topics include: Review of basic concepts of matrix algebra that are particularly useful in linear regression, and basic R programing features; (weighted) least square estimation, inference and testing; regression diagnostics, outlier influence; and variable selection and robust regression.
Credits
4
Recent Professors
Open Seat Checker
Schedule Planner
Recent Semesters
Spring 2019, Fall 2017
Offered
MTu, WF
Avg. Class Size
25
Avg. Sections
1