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2013 Fall - MATH
Subj Cat# Class# Sect Course
MATH 355 1174 1 Linear Statistical Models
A discussion of linear statistical models in both the full and less-than-full rank cases, the Gauss-Markov theorem, and applications to regression analysis, analysis of variance, and analysis of covariance. Topics in design of experiments and multivariate analysis. Prerequisite: linear algebra and a year course in probability and statistics.