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Mean estimation with generalized scrambling using two-phase sampling
Communications in Statistics - Simulation and Computation ( IF 0.9 ) Pub Date : 2020-07-07 , DOI: 10.1080/03610918.2020.1778032
Aamir Sanaullah 1 , Iram Saleem 2 , Sat Gupta 3 , Muhammad Hanif 2
Affiliation  

Abstract

Sousa et al. and Gupta et al. presented ratio and regression estimators of population mean of a sensitive variable using auxiliary information in simple random sampling without replacement. In this article, we propose a generalized randomized response technique (RRT) model and use it to develop some exponential estimators in two-phase sampling. We also discuss the privacy protection level of the proposed RRT model. Theoretical and empirical results are presented to examine the performance of the proposed mean estimators in relation to other mean estimators.



中文翻译:

使用两相采样进行广义加扰的均值估计

摘要

索萨等人。和古普塔等人。使用无替换的简单随机抽样中的辅助信息呈现敏感变量的总体平均值的比率和回归估计量。在本文中,我们提出了一种广义随机响应技术 (RRT) 模型,并用它来开发一些两阶段采样中的指数估计器。我们还讨论了所提出的 RRT 模型的隐私保护级别。提出了理论和实证结果,以检验提出的平均估计量相对于其他平均估计量的性能。

更新日期:2020-07-07
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