- Description
- A rigorous examination of the general linear model using vector space theory. Includes: generalized inverses; orthogonal projections; quadratic forms; Gauss-Markov theorem and its generalizations; BLUE estimators; Non-full rank models; estimability considerations.
- Credit units
- 3
- Term description
- 2(3L-1P)
- College
- Arts and Science
- Department
- Mathematics and Statistics
- Prerequisite(s):
- MATH 266, STAT 342, and STAT 344 or 345.