A Sensitive Estimation based on Multiplicative Stratified Unrelated Quantitative Randomized Response Model

• 발행기관: 한국자료분석학회
• 저자명: 이기성(Gi-Sung Lee) 홍기학(Ki-Hak Hong) 최광수(Kwang-Su Choi)
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.18 No.5, 2345~2353쪽, 전체 9쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2016.10.30

영문 초록

Lee (2016) suggested a multiplicative unrelated quantitative randomized response model by adding unrelated quantitative variable to Bar-Lev et al.’s (2004) model. In this paper we extend our model to a stratified quantitative randomized response model which can be used to estimate not only quantitative sensitive attribute in each stratum but also population mean of them when the population is comprised of several strata. We cover the proportional and optimum allocation for the suggested model, and suggest a two sample multiplicative stratified unrelated quantitative randomized response model that can be used when unknowing the mean of unrelated variable. Finally we compare and analyse the efficiency of the suggested model with the existing multiplicative unrelated quantitative randomized response model. We can see that the suggested multiplicative stratified quantitative randomized response model itself is more efficiency than the existing Lee’s (2016) model under some condition and when using proportional allocation.

목차

1. Introduction

2. Multiplicative stratified unrelated quantitative randomized response model

3. Two sample multiplicative stratified unrelated quantitative randomized response model

4. Efficiency comparison

5. Conclusions

References

키워드

Multiplicative model Unrelated quantitative attribute Randomized Response model Stratified random sampling Sample allocation