Theory of Linear Models

Catalog description

Students learn mathematical development of linear models theory for estimation, hypothesis testing, and confidence regions in multiple linear regression; least squares estimation; the Gauss-Markov Theorem; distribution theory for quadratic forms in normal variables; derivation of the F-test; and confidence procedures.