STAT 713 - Applied Linear Statistical Models

Credits: 3

Matrix-based regression and analysis of variance procedures at a mathematical level appropriate for a first year graduate statistic major. Topics include simple linear regression, linear models in matrix form, multiple linear regression, model building and diagnostics, analysis of covariance, multiple comparison methods, contrasts, multifactor studies.

Note:
A student may not receive credit for both STAT 704/705 sequence and STAT 713.

Requisites:
Prerequisite: Prior knowledge of matrix or linear algebra and one prior course in statistics.

Typically Offered
Fall

KSIS Course Search

Kansas State University

Course Catalog

STAT 713 - Applied Linear Statistical Models