Journal of the Korean Statistical Society

The Korean Statistical Society (한국통계학회)
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Bootstrap Inference on the Poisson Rates for Grouped Data

  • Lee, Kee-Won (Department of Statistics, Hallym University) ;
  • Kim, Woo-Chul (Department of Statistics, Seoul National University)
  • Published : 2001.03.01
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Abstract

We present how bootstrap methods can be used to conduct inference on the rates of Poisson distributions when only the grouped data are available. A theoretical justification for the validity of bootstrap is given with an illustration of proposed method using a data set obtained fro ma pathology laboratory test. Traditional asymptotic methods are compared with bootstrap methods in computing the estimated standard errors and achieved significance levels for one sample and two sample tests. Bootstrap methods are shown to possess a nice property that he small sample distribution of the relevant statistics can be readily obtained from the bootstrap copies.

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References

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