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.

Syllabus Downloads

Upcoming Time Schedule

Spring, 2023

SLN/Section Time Location Instructor
20164 A
Open

M F 9:30AM - 10:20AM

W 3:00PM - 4:50PM

LOW 201

MGH 030

STAT AND ACMS DS OPTION ONLY IN PERIOD 1.