Journal of the Korean Statistical Society

  • 제31권1호
  • /
  • Pages.45-61
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  • 2002
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  • 1226-3192(pISSN)
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  • 2005-2863(eISSN)
한국통계학회 (The Korean Statistical Society)
권호 표지

Hierarchical Bayesian Inference of Binomial Data with Nonresponse

  • Han, Geunshik (Department of Computer Science & Statistics, Hanshin University) ;
  • Nandram, Balgobin (Mathematical Sciences, Worcester Polytechnic Institute)
  • 발행 : 2002.03.01
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초록

We consider the problem of estimating binomial proportions in the presence of nonignorable nonresponse using the Bayesian selection approach. Inference is sampling based and Markov chain Monte Carlo (MCMC) methods are used to perform the computations. We apply our method to study doctor visits data from the Korean National Family Income and Expenditure Survey (NFIES). The ignorable and nonignorable models are compared to Stasny's method (1991) by measuring the variability from the Metropolis-Hastings (MH) sampler. The results show that both models work very well.

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참고문헌

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