STSCI 4030 - Applied Linear Statistical Models via Matrices

(crosslisted)
(also BTRY 4030)

Fall. 3 credits.

Prerequisite: A second non-calculus course in statistics, preferably on multiple regression, and at least one semester of basic matrix (linear) algebra.

Staff.

Introduction to the general linear statistical model, which includes regression, analysis of variance, and their variations and extensions. The course uses the matrix algebra representation of the model, which provides greater analytical, statistical, and geometric insight (and generalization) than the elementary representation used in introductory courses. A wide range of useful linear models will be studied, including multiple regression, ANOVA, random-effects models, etc. Prerequisites: a second non-calculus course in statistics, preferably on multiple regression, and at least one semester of basic matrix (linear) algebra.