An Extension of Quatember’s Randomized Response Model

• 발행기관: 한국자료분석학회
• 저자명: Gi-Sung Lee Ki-Hak Hong Chang-Kyoon Son Jong-Min Kim
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.15 No.4, 1755~1766쪽, 전체 12쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2013.08.30

영문 초록

To procure a reliable information from the population related to the privacy, Warner (1965) proposed an ingenious model, called randomized response model (RRM). We review the various dichotomous randomized response models such as Nayak’s model (1994), Mangat et al.’s model (1995), Bhargava-Singh’s model (2000), two Lee-Hong’s models of W-M model (1999) and G-M model (1999), Chang et al.’s model (2004) and Quatember’s model (2009). We extend Quatember’s randomized response model (QRRM) to two sample QRRM which incorporate the unknown unrelated population proportion. We propose a stratified QRRM for stratified population and extend it into stratified two sample QRRM covering unknown proportion of unrelated attribute. We also deal with proportional allocation and optimum one as allocation methods under the stratified QRRM. We can see that the stratified QRRM is more efficient than QRRM according to the value of π and πy.

목차

1. Introduction

2. Dichotomous RRMs of more than three questions

3. The extension of the QRRM and stratification

4. Relative efficiency

5. Conclusion

References

키워드

Sensitive information Randomized response model Stratified Quatember’s model Stratified two sample Quatember’s model