Inferential Data Analysis for Engineers

3 credits

Application of statistical methods to analyze transportation systems, with an emphasis on modeling individual behaviors and drawing sound inferences about cause and effect. Addresses linear regression and common misuses; generalized linear models including logit and negative binomial; multilevel modeling; matching methods. Emphasizes frequentist approaches but introduces Bayesian analysis and extensions of regression modeling to machine learning. Course overlaps with: IND E 528. Prerequisite: either IND E 315, STAT 390, or equivalent; recommended: standard introductory probability and statistics course. Offered: W.