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)
Check course availability in Fall 2024
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