Communications for Statistical Applications and Methods

  • 제2권2호
  • /
  • Pages.63-73
  • /
  • 1995
  • /
  • 2287-7843(pISSN)
  • /
  • 2383-4757(eISSN)
한국통계학회 (The Korean Statistical Society)
권호 표지

Robust Bayes and Empirical Bayes Analysis in Finite Population Sampling

  • Dal Ho Kim (Department of Statistics, Kyungpook National University, Taegu, 702-701, KOREA)
  • 발행 : 1995.12.01
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초록

We consider some robust Bayes estimators using ML-II priors as well as certain empirical Bayes estimators in estimating the finite population mean. The proposed estimators are compared with the sample mean and subjective Bayes estimators in terms of "posterior robustness" and "procedure robustness".re robustness".uot;.

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참고문헌

  1. Robustness in Bayesian Statistics The robust Bayesian viewpoint Berger,J.;J.Kadane(ed.)
  2. Journal of Statistical Planning and Inferences v.25 Robust Bayesian analysis: Sensitivity to the prior Berger,J.
  3. The Annals of Statistics v.14 Robust Bayes and empirical Bayes analysis woth ε-contaminated prior berger,J.;Berliner,M.
  4. Journal of Royal Statistical Society, Ser. B v.31 Subjective Bayesian models in sampling finite populations(with discusion) Ericson,W.A.
  5. Journal of American Statistical Association v.77 Estimation in survey sampling: Robustness and optimality Godambe,V.P.
  6. Foudations of Statistical Inference The specification of prior knowledge by distributions in survey sampling estimation Godanbe,V.P.;Thompson,M.E.;V.P.Gadambe(ed.);D.A.Sprott(ed.)
  7. The Estimation of Probabilities: An Essay on Modern Bayesian Methods Good,I.J.
  8. Biometrika v.69 Balanced samples and robust Bayesian inference in finite population sampling Royall,R.M.;Pfeffermann,D.
  9. Bayesian Statistics 4 Recent methodological advances in robust Bayesian inference Wasserman,L.;J.M.Bernardo(ed.);J.O.Berger(ed.);A.P.Dawid(ed.);A.F.M.Smith(ed.)