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STAT 5588
Theory of Linear Model
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This course covers vector space, full rank linear model, general inverse, estimation under linear constraints interval estimation, hypothesis testing, distributions of quadratic forms, general distribution theory, estimability, Gauss-Markov theorem, Best Linear Unbiased Estimation (BLUE), regression on dummy variables, estimation of variance components, Scheffe and Turkey intervals, and ono-full rank linear model. Prerequisites: Math 420, Stat 5537, and Stat 5565
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Faculty:
College of Arts & Sciences
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Department:
Mathematics & Statistics
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