Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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A Closed-Form Bayesian Inferences for Multinomial Randomized Response Model

  • Heo, Tae-Young (Electronics and Telecommunications Research Institute) ;
  • Kim, Jong-Min (Division of Science and Mathematics, University of Minnesota-Morris)
  • Published : 2007.04.30
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Abstract

In this paper, we examine the problem of estimating the sensitive characteristics and behaviors in a multinomial randomized response model using Bayesian approach. We derived a posterior distribution for parameter of interest for multinomial randomized response model. Based on the posterior distribution, we also calculated a credible intervals and mean squared error (MSE). We finally compare the maximum likelihood estimator and the Bayes estimator in terms of MSE.

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References

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