当前位置: X-MOL 学术Commun. Stat. Theory Methods › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A two-stage unrelated question randomized response model for estimating the rare sensitive parameter under Poisson distribution
Communications in Statistics - Theory and Methods ( IF 0.6 ) Pub Date : 2020-06-01
Ghulam Narjis, Javid Shabbir

In this paper, we propose a new two-stage unrelated question randomized response technique (RRT) model to estimate the mean of the number of persons possessing a rare sensitive attribute using the Poisson distribution. The utility of proposed two-stage unrelated question RRT model under stratification is also explored. Efficiency comparison between proposed two-stage unrelated question and Singh and Suman (2019 Singh, G. N., and S. Suman. 2019. An ameliorated two-stage randomized response model for estimating a rare stigmatized characteristic using poisson distribution. Kuwait J. Sci 46:2130.[Web of Science ®] , [Google Scholar]) RRT model is carried out numerically under simple random sampling, and with Suman and Singh (2019 Suman, S., and G. N. Singh. 2019. An ameliorated stratified two-stage randomized response model for estimating the rare sensitive parameter under poisson distribution. Statistics 53 (2):395416. doi:10.1080/02331888.2019.1569665.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) in stratified random sampling, respectively.



中文翻译:

泊松分布下稀有敏感参数的两阶段无关问题随机响应模型

在本文中,我们提出了一种新的两阶段无关问题随机响应技术(RRT)模型,以利用泊松分布估计拥有稀有敏感属性的人数的平均值。还探讨了分层情况下建议的两阶段无关问题RRT模型的实用性。拟议的两阶段无关问题与Singh和Suman(2019年)的效率比较 GN的SinghS. Suman2019一种改进的两阶段随机响应模型,用于使用泊松分布估计罕见的污名化特征科威特J.科学46:21 - 30[Web of Science®  ,[Google Scholar])RRT模型是在简单随机抽样下通过数值进行的,并由Suman和Singh(2019 Suman,S .和GN Singh2019一种改进的分层两阶段随机响应模型,用于估计泊松分布下的稀有敏感参数统计资料53(2):395416。doi:10.1080 / 02331888.2019.1569665[Taylor&Francis Online],[Web of Science®]  ,[Google Scholar]分别分层分层抽样。

更新日期:2020-06-01
down
wechat
bug