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A comparison of pivotal sampling and unequal probability sampling with replacement
Published 9 Sep 2016 in math.ST, stat.AP, stat.ME, and stat.TH | (1609.02688v2)
Abstract: We prove that any implementation of pivotal sampling is more efficient than multinomial sampling. This property entails the weak consistency of the Horvitz-Thompson estimator and the existence of a conservative variance estimator. A small simulation study supports our findings.
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