Estimation of the parameters in an Exponential Distribution with Type-II Censoring

  • Suk Bok Kang (Department of Statistics, Yeungnam University, Kyongsan, 712-749, Korea) ;
  • Young Soo Suh (Department of Statistics, Yeungnam University, Kyongsna, 712-749, Korea) ;
  • Young Suk Cho (Department of Statistics, Yeungnam University, Kyongsna, 712-749, Korea)
  • Published : 1997.12.01

Abstract

In this paper, we propose the minimum risk estimator (MRE) and the approximate maximum likelihood estimator (AMLE) of the location and the scale parameters of the two-parameter exponential distribution with Type-II censoring. The MRE's can be derived by minimizing the mean squared error among the class of estimators which include some estimators as special cases. We show that the MRE's are more efficient than the other estimators of the scale and the location parameter in the terms of the mean squared error.

Keywords

References

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