Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Markov Chain Monte Carol estimation in Two Successive Occasion Sampling with Radomized Response Model

  • Lee, Kay-O (Professor Department of Computer Science and Statistics Korea Air Force Academy Chungbuk)
  • Published : 2000.04.01
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Abstract

The Bayes estimation of the proportion in successive occasions sampling with randomized response model is discussed by means of Acceptance Rejection sampling. Bayesian estimation of transition probabilities in two successive occasions is suggested via Markov Chain Monte Carlo algorithm and its applicability is represented in a numerical example.

Keywords

References

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