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

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

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  • 国家科技期刊平台
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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.

stress-strength modelexponentiated Pareto distributioninterval estimationprogressively censored scheme

CHENG Conghua

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School of Mathematics and Statistics, Zhaoqing University, Zhaoqing 526061, China

Natural Science Foundation of Guangdong Province,ChinaCharacteristic Innovation Projects of Ordinary Universities of Guangdong Province,ChinaHigher Education Teaching Reform Project of Guangdong Province,ChinaZhaoqing Educational Development Research Institute Project,China

2018A0303138292019KTSCX2022019625ZQJYY2019033

2020

东华大学学报(英文版)
东华大学

东华大学学报(英文版)

影响因子：0.091
ISSN：1672-5220
年,卷(期)：2020.37(4)
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