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Estimation of Sensitive Proportion by Randomized Response Data in Successive Sampling
Bo Yu1, Zongda Jin2, Jiayong Tian3
1School of Public Health, Medical College, Soochow University, Suzhou 215123, China ; School of Mathematical Sciences, Dezhou University, Dezhou 253023, China.
Abstract:
This paper considers the problem of estimation for binomial proportions of sensitive or stigmatizing attributes in the population of interest. Randomized response techniques are suggested for protecting the privacy of respondents and reducing the response bias while eliciting information on sensitive attributes. In many sensitive question surveys, the same population is often sampled repeatedly on each occasion. In this paper, we apply successive sampling scheme to improve the estimation of the sensitive proportion on current occasion.
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