Forcibly Re-scrambled Randomized Response Model for Simultaneous Estimation of Means of Two Sensitive Variables

作     者：Segun Ahmed Stephen A.Sedory Sarjinder Singh 

作者机构：Department of MathematicsTexas A&M University-KingsvilleKingsvilleTX 78363USA 

出 版 物：《Communications in Mathematics and Statistics》 (数学与统计通讯（英文）)

年 卷 期：2020年第8卷第1期

页      面：23-45页

核心收录：

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

主　　题：Estimation of means of two sensitive characteristics Randomized response technique Re-scrambling Variance and relative efficiency 

摘      要：Recently,Ahmed et al.(Commun Stat Theory Methods 47(2):324-343,2018)have introduced the idea of simultaneously estimating means of two sensitive variables by collecting one scrambled response and another *** this paper,we extend their idea to the simultaneous estimation of two means by making use of the forced quantitative randomized response model of Gjestvang and Singh(Metrika 66(2):243-257,2007)but then re-scrambling the scrambled *** idea of re-scrambling already scrambled responses seems completely new in the field of randomized response *** performance of the proposed forced quantitative randomized response model has been investigated analytically as well as empirically.