| Reliability of Parallel Stress-Strength Model |
| Received:May 07, 2017 Revised:April 27, 2018 |
| Key Words:
parallel stress-strength model exponentiated Pareto distribution maximum likelihood estimation Bayesian estimation interval estimation
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| Fund Project:Supported by the Higher Education Colleges and Universities Innovation Strong School Project of Guangdong Province (Grant No.2016KTSCX153), the Natural Science Foundation of Guangdong Province (Grant No.2016A030307019) and the Teaching Reform Program Foundation of Zhaoqing University (Grant No.zlgc201745). |
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| Abstract: |
| In this paper, the reliability of a parallel stress-strength model of exponentiated Pareto distribution is discussed. Different point estimations and interval estimations are proposed. The point estimators obtained are maximum likelihood and Bayesian estimators. The interval estimations obtained are approximate, exact, bootstrap-p and bootstrap-t confidence intervals and Bayesian credible interval. Different methods and the corresponding confidence intervals are demonstrated using some simulation studies. |
| Citation: |
| DOI:10.3770/j.issn:2095-2651.2018.04.010 |
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