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Department:
Statistics >
Course:
Theory of Linear Models
STAT
643

Theory of Linear Models

Hours

3.0 Credit, 3 Lecture, 0 Lab

Prerequisites

Prob Theory & Math Stat 2
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.

Prove and Explain

Prove and explain the theory behind full-rank and non-full rank linear models hypothesis testing

Derive the Distribution

Derive the distribution of quadratic forms

Understand, Prove, and Explain

Understand, prove, and explain various issues associated with linear models including estimability, Bayesian approach to analysis, and generalized linear models