Jul 02, 2025  
2019-2020 Undergraduate Bulletin 
    
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2019-2020 Undergraduate Bulletin [ARCHIVED PUBLICATION]

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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: Every even year spring


Check course availability in Spring 2025

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