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STAT 160

Introduction to Survey Sampling and Estimation

Harvard FAS

Introduces modern methods for survey sampling design and finite-population inference, with emphasis on probability sampling, design-based estimation, and the practical consequences of complex survey designs. Topics include simple random sampling, ratio and regression estimation, stratification and allocation, cluster and multistage sampling, systematic and PPS sampling, Horvitz-Thompson estimation, survey weights, nonresponse adjustment, calibration, raking, variance estimation, replicate…

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Topics explicitly listed in official catalogue description

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