Proceedings of the Korean Statistical Society Conference (한국통계학회:학술대회논문집)

The Korean Statistical Society (한국통계학회)
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A Bayesian Analysis of the Multinomial Randomized Response Model Using Dirichlet Prior Distribution

  • Kim, Jong-Min (Division of Science and Mathematics, University of Minnesota) ;
  • Heo, Tae-Young (Department of Statistics, North Carolina State University)
  • Published : 2005.05.20
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Abstract

In this paper, we examine the problem of estimating the sensitive characteristics and behaviors in a multinomial randomized response (RR) model. We analyze this problem through a Bayesian perspective and develop a Bayesian multinomial RR model in survey study. The Bayesian inference of multinomial RR model is a new approach to RR models.

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