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Graduate Record 2023-2024 [ARCHIVED RECORD]
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STAT 6120 - Linear Models
Effective Start Date: 08/01/2015
Course develops fundamental methodology to regression and linear-models analysis in general. Topics include model fitting and inference, partial and sequential testing, variable selection, transformations, diagnostics for influential observations, multicollinearity, and regression in nonstandard settings. Conceptual discussion in lectures is supplemented withhands-on practice in applied data-analysis tasks using SAS or R statistical software.
Prerequisite: Graduate standing in Statistics, or instructor permission.
Credits: 3
Grading Basis: Student Option
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