Estimation for the exponentiated Weibull model with adaptive Type-II progressive censored schemes
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- 作者：Mashail M. AL Sobhi ; a ; mashail1426@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Ahmed A. Solimanb ; a_a_sol@hotmail.com" class="auth_mail" title="E-mail the corresponding author ; soliman1957@live.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Exponentiated Weibull distribution ; An adaptive Type-II progressive censoring scheme ; Bayesian non-Bayesian approaches ; Parametric bootstrap confidence intervals ; Markov chain Monte Carlo ; Importance sampling scheme
- 刊名：Applied Mathematical Modelling
- 出版年：2016
- 出版时间：15 January 2016
- 年：2016
- 卷：40
- 期：2
- 页码：1180-1192
- 全文大小：470 K
文摘
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Bayes and ML estimations for the exponentiated Weibull distribution based an adaptive progressive censoring have been obtained.
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The MLEs, the bootstrap confidence intervals and the asymptotic confidence intervals have been obtained and discussed.
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The Bayes estimates cannot be obtained in explicit form.
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We used MCMC samples to compute the approximate Bayes estimates and constructed the credible intervals.
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The performance of different methods was compared via a Monte Carlo simulation.