A Bayesian estimator based on Franklin's randomized response procedure is proposed for proportion estimation in surveys dealing with a sensitive character. The method is simple to implement and avoids the usual drawbacks of Franklin's estimator, i.e., the occurrence of negative estimates when the population proportion is small. A simulation study is considered in order to assess the performance of the proposed estimator as well as the corresponding credible interval.
Barabesi, L., Marcheselli, M. (2006). A practical implementation and Bayesian estimation in Franklin's randomized response procedure. COMMUNICATIONS IN STATISTICS. SIMULATION AND COMPUTATION, 35(3), 563-573 [10.1080/03610910600716548].
A practical implementation and Bayesian estimation in Franklin's randomized response procedure
Barabesi, Lucio;Marcheselli, Marzia
2006-01-01
Abstract
A Bayesian estimator based on Franklin's randomized response procedure is proposed for proportion estimation in surveys dealing with a sensitive character. The method is simple to implement and avoids the usual drawbacks of Franklin's estimator, i.e., the occurrence of negative estimates when the population proportion is small. A simulation study is considered in order to assess the performance of the proposed estimator as well as the corresponding credible interval.
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https://hdl.handle.net/11365/3101
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