Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Asymptotic Relative Efficiencies of the Nonparametric Relative Risk Estimators for the Two Sample Proportional Hazard Model

  • Cho, Kil-Ho (Department of Statistics, Kyungpook National University) ;
  • Lee, In-Suk (Department of Statistics, Kyungpook National University) ;
  • Choi, Jeen-Kap (Department of Statistics, Kyungpook National University) ;
  • Jeong, Seong-Hwa (Department of Statistics, Kyungpook National University) ;
  • Choi, Dal-Woo (Department of Statistics, Kyungpook National University)
  • Published : 1999.04.30
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Abstract

In this paper, we summarize some relative risk estimators under the two sample model with proportional hazard and examine the relative efficiencies of the nonparametric estimators relative to the maximum likelihood estimator of a parametric survival function under random censoring model by comparing their asymptotic variances.

Keywords

References

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