Journal of the Korean Data and Information Science Society

한국데이터정보과학회 (The Korean Data and Information Science Society)
권호 표지

Bootstrap Confidence Intervals for a One Parameter Model using Multinomial Sampling

  • Jeong, Hyeong-Chul (Department of Computer Science & Statistics, Pyongtaek University) ;
  • Kim, Dae-Hak (Department of Statistics, Catholic University of Taegu-Hyosung)
  • 발행 : 1999.10.31
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초록

We considered a bootstrap method for constructing confidenc intervals for a one parameter model using multinomial sampling. The convergence rates or the proposed bootstrap method are calculated for model-based maximum likelihood estimators(MLE) using multinomial sampling. Monte Carlo simulation was used to compare the performance of bootstrap methods with normal approximations in terms of the average coverage probability criterion.

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참고문헌

  1. The American statistician v.52 Approximation is better than "exact" for interval estimation of binomial proportions Agresti, A.;Brent, A. C.
  2. The Annals of Statistics v.9 On the asymptotic accuracy of Efron's bootstrap Singh, K.
  3. Statistics Probability Letters v.7 Singh's theorem in the lattice case Woodroofe, M.;Jhun, M.