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

Segun Ahmed , Stephen A. Sedory , Sarjinder Singh

Communications in Mathematics and Statistics ›› 2020, Vol. 8 ›› Issue (1) : 23 -45.

PDF
Communications in Mathematics and Statistics ›› 2020, Vol. 8 ›› Issue (1) : 23 -45. DOI: 10.1007/s40304-018-0156-7
Article

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

Author information +
History +
PDF

Abstract

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 pseudo-response. In 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 scores. This idea of re-scrambling already scrambled responses seems completely new in the field of randomized response sampling. The performance of the proposed forced quantitative randomized response model has been investigated analytically as well as empirically.

Keywords

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

Cite this article

Download citation ▾
Segun Ahmed,Stephen A. Sedory,Sarjinder Singh. Forcibly Re-scrambled Randomized Response Model for Simultaneous Estimation of Means of Two Sensitive Variables. Communications in Mathematics and Statistics, 2020, 8(1): 23-45 DOI:10.1007/s40304-018-0156-7

登录浏览全文

4963

注册一个新账户 忘记密码

References

AI Summary AI Mindmap
PDF

137

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/