Interval estimation of population means under unknown but bounded probabilities of sample selection
Interval estimation of population means under unknown but bounded probabilities of sample selection
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DOI：
10.1093/biomet/ass064
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发表时间：
2013-03-01
期刊：
影响因子：
2.7
通讯作者：
Lee, Donald K. K.
中科院分区：
文献类型：
--
作者：
Aronow, Peter M.;Lee, Donald K. K.
将部分识别的概念应用到有限总体抽样领域，我们提出了一种当样本选择的概率位于给定区间内时总体平均值的区间估计方法。区间估计源自总体平均值 Hajek (1971) 估计量的锐界。我们通过将其应用于作为康涅狄格州纽黑文注射器跟踪和测试计划的一部分收集的针头样本，展示了该方法在敏感性分析中的实用性。
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 probabilities of sample selection lie 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 by applying it to a sample of needles collected as part of a syringe tracking and testing programme in New Haven, Connecticut.