STAT 403
Introduction to Resampling Inference
4.0 credits
Course Description
Introduction to computer-intensive data analysis for experimental and observational studies in empirical sciences. Students design, program, carry out, and report applications of bootstrap resampling, rerandomization, and subsampling of cases. Experience programming in R is beneficial. Cannot be taken if credit received for STAT 503/QMETH 503. Prerequisite: either STAT 311, STAT 341, STAT 390, STAT 391, or Q SCI 381 and Q SCI 482. Offered: jointly with Q SCI 403; Sp.