Journal of the Korean Statistical Society

The Korean Statistical Society (한국통계학회)
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A Hierarchical Bayesian Model for Survey Data with Nonresponse

  • Han, Geunshik (Division of Computer and Information Science, Hanshin University)
  • Published : 2001.09.01
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Abstract

We describe a hierarchical bayesian model to analyze multinomial nonignorable nonresponse data. Using a Dirichlet and beta prior to model the cell probabilities, We develop a complete hierarchical bayesian analysis for multinomial proportions without making any algebraic approximation. Inference is sampling based and Markove chain Monte Carlo methods are used to perform the computations. We apply our method to the dta on body mass index(BMI) and show the model works reasonably well.

Keywords

References

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