A Monte Carlo comparison of some variance estimators of the Horvitz-Thompson estimator
At the design and estimation stage of a survey, large survey organization often uses auxiliary information. This article discusses various procedures for improving variance estimation of the Horvitz-Thompson estimator of a finite population total with the aid of auxiliary information. To study the design-based properties of the proposed variance estimators relative to the standard one, a small scale Monte Carlo study is performed.
variance estimation horvitz-thompson estimator auxiliary information design-based calibration model-based