Jan 18, 2019  
Graduate Record 2017-2018 
Graduate Record 2017-2018 [ARCHIVED RECORD]

STAT 6120 - Linear Models

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