STAT
643
Theory of Linear Models
Hours
3.0 Credit, 3 Lecture, 0 Lab
Prerequisites
Random vectors; multivariate normal distribution; quadratic forms distribution; full-rank and non-full-rank linear models hypothesis testing; random predictors; estimability; Bayesian topics; mixed and/or generalized linear models.