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Feb 15, 2025
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2023-2024 Graduate Bulletin [ARCHIVED CATALOG]
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STT 5830 - Linear Regression Models (3) [DL] When Offered: Fall An introduction to least squares estimation for both simple and multiple regression models. Linear algebra is used to represent both regression models and estimated parameters. Considerable attention is given to the analysis of variance, aptness of the model tests, residual analysis, the effects of multicollinearity, and variable selection procedures. Logistic regression, Poisson regression, and Generalized Linear Models are also introduced. Theoretical results will be explored with a modern statistical programming language. Prerequisites: MAT 2240 (Intro to Linear Algebra) and either STT 3820 (Statistical Methods I) or STT 3850 (Statistical Data Analysis I) or equivalent. [Dual-listed with STT 4830.]
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