Interval estimation of population means under unknown but bounded probabilities of sample selection
نویسندگان
چکیده
Applying concepts from partial identification to the domain of finite population sampling, we propose a method for interval estimation of a population mean when the probability of sample selection lies within a posited interval. The interval estimate is derived from sharp bounds on the Hajek (1971) estimator of the population mean. We demonstrate the method’s utility for sensitivity analysis using a sample of needles collected as part of a syringe tracking and testing program in New Haven, Connecticut.
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