A Ratio Estimator for the Mean Using a Mixture Optional Enhance Trust (MOET) Randomized Response Model
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- Giancarlo Diana & Pier Perri, 2011. "A class of estimators for quantitative sensitive data," Statistical Papers, Springer, vol. 52(3), pages 633-650, August.
- Graeme Blair & Kosuke Imai & Yang-Yang Zhou, 2015. "Design and Analysis of the Randomized Response Technique," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(511), pages 1304-1319, September.
- Samridhi Mehta & Priyanka Aggarwal, 2018. "Bayesian estimation of sensitivity level and population proportion of a sensitive characteristic in a binary optional unrelated question RRT model," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(16), pages 4021-4028, August.
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Keywords
Randomized Response Technique (RRT); respondent privacy; social desirability bias (SDB); unified measure (UM); ratio estimator; auxiliary variable;All these keywords.
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