Credit units: 3
Offered: Either Term 1 or Term 2
Weekly hours: 3 Lecture hours and 1 Seminar/Discussion hours
College: Graduate and Postdoc Studies
Department: Mathematics and Statistics
A rigorous development of the general linear model, using vector space theory. Generalized inverses, orthogonal projections, quadratic forms, Gauss-Markov theorem, estimability.
Prerequisite(s): An undergraduate course in mathematical statistics (STAT 342), linear algebra (MATH 266), and STAT 344 or 345.
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