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Statistical Inference of Stress-Strength Model for Exponentiated Pareto Model with Censored Data

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摘要 The reliability of a system is discussed when the strength of the system and the stress imposed on it are independent and non-identical exponentiated Pareto distributed random variables with progressively censored scheme.Different interval estimations are proposed.The interval estimations obtained are exact,approximate and bootstrap confidence intervals.Different methods and the corresponding confidence intervals are compared using Monte-Carlo simulations.Simulation results show that the confidence intervals(CIs)of exact and approximate methods are really better than those of the bootstrap method.
作者 CHENG Conghua 程从华(School of Mathematics and Statistics, Zhaoqing University, Zhaoqing 526061, China)
出处 《Journal of Donghua University(English Edition)》 EI CAS 2020年第4期349-356,共8页 东华大学学报(英文版)
基金 Natural Science Foundation of Guangdong Province,China(No.2018A030313829) Characteristic Innovation Projects of Ordinary Universities of Guangdong Province,China(No.2019KTSCX202) Higher Education Teaching Reform Project of Guangdong Province,China(No.2019625) Zhaoqing Educational Development Research Institute Project,China(No.ZQJYY2019033)。
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