泊松分布下两阶段抽样中一个罕见敏感属性的随机响应模型估计

IF 1.4 3区社会学 Q3 DEMOGRAPHY

Mathematical Population Studies Pub Date : 2019-01-02 DOI:10.1080/08898480.2018.1553404

G. Singh, S. Suman, C. Singh

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引用次数: 2

摘要

摘要具有罕见敏感属性的平均总人数的无偏估计程序适用于两阶段和分层两阶段抽样方案下的聚类人群。当不相关的稀有非敏感属性的参数已知或未知时，使用随机响应模型来获得估计量。导出了结果估计量的方差，并表达了它们的无偏估计。数值比较表明，估计中的离散度低于其他当代估计。

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Estimation of a rare sensitive attribute in two-stage sampling using a randomized response model under Poisson distribution

ABSTRACT Unbiased estimation procedures of the mean total number of persons with a rare sensitive attribute apply for a clustered population under two-stage and stratified two-stage sampling schemes. Randomized response model is used to obtain the estimators, when the parameter of an unrelated rare non-sensitive attribute is either known or unknown. The variances of the resultant estimators are derived and their unbiased estimates are expressed. Numerical comparisons show that dispersions in the estimates are lower than other contemporary estimators.

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来源期刊

Mathematical Population Studies 数学-数学跨学科应用

CiteScore

3.20

自引率

11.10%

发文量

审稿时长

>12 weeks

期刊介绍： Mathematical Population Studies publishes carefully selected research papers in the mathematical and statistical study of populations. The journal is strongly interdisciplinary and invites contributions by mathematicians, demographers, (bio)statisticians, sociologists, economists, biologists, epidemiologists, actuaries, geographers, and others who are interested in the mathematical formulation of population-related questions. The scope covers both theoretical and empirical work. Manuscripts should be sent to Manuscript central for review. The editor-in-chief has final say on the suitability for publication.