Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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A Note on Asymptotic Relative Efficiency of the Nonparametric Reliability Estimation for the Proportional Hazards Model

  • Cha, Young-Joon (Department of Statistics, Andong National University) ;
  • Lee, Jae-Man (Department of Statistics, Andong National University) ;
  • Cho, Gyo-Young (Department of Statistics, Kyungpook National University)
  • Published : 1998.10.31
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Abstract

This paper presents the asymptotic relative efficiency of the nonparametric estimator relative to the parametric maximum likelihood estimator of the reliability function under the proportional hazards model of random censorship. Also we examine the efficiency loss due to censoring proportions and misson times.

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