STAT 451 - Sampling Theory & Applications

Credits: 3

This course will cover theoretical aspects of simple random, stratified, cluster and systematic samplings for finite population with applications including ratio estimation, poststratification, Horvitz-Thompson estimator for two-stage sampling, weights in complex sampling surveys, mechanisms for nonresponse. A statistical software will be used.

Prerequisite(s): STAT 255 (may be taken concurrently), MATH 438

Term(s) Offered: Spring (even-numbered years)

Search the USI Class Schedule for course availability