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. Credit allowed for STAT 403 or STAT 503 but not both. Prerequisite: either STAT 311, STAT 341, STAT 390/MATH 390, or Q SCI 381 and Q SCI 482. Offered: jointly with Q SCI 403; Sp.