当前位置: X-MOL 学术Commun. Stat. Simul. Comput. › 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 mixture binary RRT model with a unified measure of privacy and efficiency
Communications in Statistics - Simulation and Computation ( IF 0.9 ) Pub Date : 2021-04-24 , DOI: 10.1080/03610918.2021.1914092
Maxwell Lovig 1 , Sadia Khalil 2 , Sumaita Rahman 3 , Pujita Sapra 4 , Sat Gupta 4
Affiliation  

Abstract

In this study, we introduce a mixture binary Randomized Response Technique (RRT) model by combining the elements of the Greenberg Unrelated Question model and the Warner Indirect Question model. We also account for untruthful responding in the proposed model. A unified measure of model efficiency and respondent privacy is also presented. Finally, we present a simulation study to validate the theoretical findings.



中文翻译:

具有统一隐私和效率度量的混合二元 RRT 模型

摘要

在本研究中,我们通过结合格林伯格无关问题模型和华纳间接问题模型的元素,引入了混合二元随机响应技术(RRT)模型。我们还在提议的模型中考虑了不真实的响应。还提出了模型效率和受访者隐私的统一衡量标准。最后,我们提出了一项模拟研究来验证理论结果。

更新日期:2021-04-24
down
wechat
bug