The Pure and Applied Mathematics (한국수학교육학회지시리즈B:순수및응용수학)

Korean Society of Mathematical Education (한국수학교육학회)
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ESTIMATING MOMENTS OF THE SURVIVAL TIME FROM CENSORED OBSERVATIONS

  • Jung, In-Ha (Dept. of Computer Science and Statistics, Ajou University) ;
  • Lee, Kang-Sup (Dept. of Computer Science and Statistics, Dankook University)
  • Published : 1995.12.01
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Abstract

A Bayes estimator of the survival distribution function due to Susarla and Van Ryzin(1976) is used to estimate the mth moment of a survival time on the basis of censored observations in a random censorship model. Asymptotic normality of the estimator is proved using the functional version of the delta method.

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