Communications for Statistical Applications and Methods

  • 제4권3호
  • /
  • Pages.795-805
  • /
  • 1997
  • /
  • 2287-7843(pISSN)
  • /
  • 2383-4757(eISSN)
한국통계학회 (The Korean Statistical Society)
권호 표지

Bayesian Prediction under Dynamic Generalized Linear Models in Finite Population Sampling

  • Dal Ho Kim (Department of Statistics, Kyungpook National University, Taegu, 702-701, Korea) ;
  • Sang Gil Kang (Department of Statistics, Kyungpook National University, Teagu, 702-701, Korea)
  • 발행 : 1997.12.01
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초록

In this paper, we consider a Bayesian forecasting method for the analysis of repeated surveys. It is assumed that the parameters of the superpopulation model at each time follow a stochastic model. We propose Bayesian prediction procedures for the finite population total under dynamic generalized linear models. Some numerical studies are provided to illustrate the behavior of the proposed predictors.

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참고문헌

  1. Journal of the Royal Statistical Society, Series B v.35 A Stochastic Model for Repeated Surveys Blight, B.J.N.;Scott, A.J.
  2. Communication in Statistics-Computation and Simulation v.17 Finite Population Prediction under Dynamic Generalized Linear Models Bolfarine, H.
  3. Prediction Theory for Finite Populations Bolfarine, H.;Zacks, S.
  4. Journal of the Royal Statistical Society, Series B v.31 Subjective Bayesian Models in Sampling Finite Populations Ericson, W.A.
  5. Journal of the Royal Statistical Society, Series B v.38 Bayesian Forecasting Harrison, P.J.;Stevens, C.F.
  6. Statistics and Probability Letters v.5 A Kalman Filter Model for Single and Two-stage Repeated Surveys Rodrigues, J.;Bolfarine, H.
  7. Journal of the American Statistical Association v.69 Analysis of Repeated Surveys Using Time Series Methods Scott, A.J.;Smith, A.F.M.
  8. Journal of the American Statistical Association v.80 Dynamic Generalized Linear Models and Bayesian Forecasting West, M.;Harrison, P.J.;Migon, H.S.