Reliability of Parallel Stress-Strength Model
Received:May 07, 2017  Revised:April 27, 2018
Key Word: parallel stress-strength model   exponentiated Pareto distribution   maximum likelihood estimation   Bayesian estimation   interval estimation  
Fund ProjectL: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).
Author NameAffiliation
Conghua CHENG School of Mathematics and Statistics, Zhaoqing University, Guangdong 526061, P. R. China 
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      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.
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