Course Description
Estimation and testing in full and non-full rank linear models. Normal theory distributional properties. Least squares principle and the Gauss-Markov theorem. Estimability, analysis of variance and co variance in a unified manner. Practical model-building in linear regression including residual analysis, regression diagnostics, and variable selection. Emphasis on use of the computer to apply methods with data sets. Credit not given for both ST 705 and ST 503. Note: this course will be offered in person (Spring) and online (Summer).
DE Program
Statistics Online Masters Program
Spring 2022
Instructors
Meeting Patterns
Classes Start:
January 10, 2022
Classes End:
April 25, 2022
Distance Education:
Yes
Class Days:
[TBA]
Class Type:
Lecture
Credits:
3.00
Restrictions:
R: 17ASDMCTG, 17SECTG, 17STMR/17STZMR and NDS only
