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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국자료분석학회 Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제15권 제5호
- 발행연도
- 2013.1
- 수록면
- 2,357 - 2,365 (9page)
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초록· 키워드
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To procure a reliable information from the population related to the privacy, Warner (1965) proposed an ingenious model, called randomized response model (RRM). Since then many researchers including Eichhorn, Hayre (1983), have developed the method for the estimation of the mean of the stigmatized variable beyond the estimation of the population proportion of a sensitive attribute which was originally suggested by Warner in 1965. We suggest an indirect forced quantitative randomized response (IFQRR) model in which we use the scrambled response of Gupta et al. (2002) instead of using that of Eichhorn, Hayre (1983) which Saha (2011) used. By so doing, we can demand true response twice indirectly from respondent and we extend it to stratified population and compare the efficiency of our model with Saha (2011) model and Gupta et al. (2002) model. We can see that the suggested model is always more efficient than Saha (2011) model regardless of the values of q_{ihj} (i=1,2) under the condition of theta = 1 and is more efficient than that of Gupta et al. (2002) when q_{ihj} ge q.
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참고문헌 (10)
참고문헌 신청
Eichhorn, B. H. / 1983 / Scrambled randomized response methods for obtaining sensitive quantitative data / Journal of the Statistical Planning and Inference 7 : 307 ~ 316
Gupta, S. / 2002 / Estimation of sensitivity level of personal interview survey questions / Journal of the Statistical Planning and Inference 100 : 239 ~ 247
Lee, G. S. / 1999 / Modified Nayak's Randomized Response Model / Communications of Korean Statistical Society 6 (1) : 117 ~ 129
Raj, D. / 1968 / Sampling Theory / McGraw-Hill
Saha, A. / 2011 / An Optional Scrambled Randomized Response Technique for Practical Surveys / Metrika 73 : 139 ~ 149
Gupta, S. / 2002 / Estimation of sensitivity level of personal interview survey questions / Journal of the Statistical Planning and Inference 100 : 239 ~ 247
Lee, G. S. / 1999 / Modified Nayak's Randomized Response Model / Communications of Korean Statistical Society 6 (1) : 117 ~ 129
Raj, D. / 1968 / Sampling Theory / McGraw-Hill
Saha, A. / 2011 / An Optional Scrambled Randomized Response Technique for Practical Surveys / Metrika 73 : 139 ~ 149
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