Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Bayesian Prediction of Exponentiated Weibull Distribution based on Progressive Type II Censoring

  • Received : 2013.05.29
  • Accepted : 2013.09.30
  • Published : 2013.11.30
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Abstract

Based on progressive Type II censored sampling which is an important method to obtain failure data in a lifetime study, we suggest a very general form of Bayesian prediction bounds from two parameters exponentiated Weibull distribution using the proper general prior density. For this, Markov chain Monte Carlo approach is considered and we also provide a simulation study.

Keywords

References

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  1. The Exponentiated Weibull-Geometric Distribution: Properties and Estimations vol.21, pp.2, 2014, https://doi.org/10.5351/CSAM.2014.21.2.147
  2. Two-sample prediction for progressively Type-II censored Weibull lifetimes vol.46, pp.2, 2017, https://doi.org/10.1080/03610918.2014.1002848
  3. Bayesian and maximum likelihood estimations from parameters of McDonald Extended Weibull model based on progressive type-II censoring 2018, https://doi.org/10.1080/15598608.2017.1343693