STAT 3301: Statistical Modeling for Discovery I

January 31, 2017
Statistical models for data analysis and discovery in big-data settings, with primary focus on linear regression models. The challenges of building meaningful models from vast data are explored, and emphasis is placed on model building and the use of numerical and graphical diagnostics for assessing model fit. Interpretation and communication of the results of analyses is emphasized. Prereq: C- or better in 3202; or permission of instructor. Prereq or concur: Math 2568; or permission of instructor.
Credit Hours: 
3.0

Typical Offerings:  every AU


Recent Syllabi


AU18 STAT 3301 Hans [pdf]

AU17 STAT 3301 Hans [pdf]

AU16 STAT 3301 Hans [pdf]

AU15 STAT 3301 Hans [pdf]



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