Subject: Statistics
Credit units: 3
Offered: Term 2 only
Weekly hours: 3 Lecture hours and 1 Practicum/Lab hours
College: Arts and Science
Department: Mathematics and Statistics

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.

Prerequisite(s): MATH 164 (formerly MATH 264) or MATH 266, STAT 342, and STAT 344 or 345.

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