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Estimation for the Exponentiated Exponential Distribution Based on Multiply Type-II Censored Samples

  • Kang Suk-Bok (Department of Statistics, Yeungnam University) ;
  • Park Sun-Mi (Department of Statistics, Yeungnam University)
  • Published : 2005.12.01

Abstract

It has been known that the exponentiated exponential distribution can be used as a possible alternative to the gamma distribution or the Weibull distribution in many situations. But the maximum likelihood method does not admit explicit solutions when the sample is multiply censored. So we derive the approximate maximum likelihood estimators for the location and scale parameters in the exponentiated exponential distribution that are explicit function of order statistics. We also compare the proposed estimators in the sense of the mean squared error for various censored samples.

Keywords

References

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Cited by

  1. Estimation of the Exponential Distributions based on Multiply Progressive Type II Censored Sample vol.19, pp.5, 2012, https://doi.org/10.5351/CKSS.2012.19.5.697
  2. Estimation of the exponential distribution based on multiply Type I hybrid censored sample vol.25, pp.3, 2014, https://doi.org/10.7465/jkdi.2014.25.3.633