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作 者:何宗科[1] 时钟[1] 邝志礼[1] 胡湘洪[1] 王武 HE Zongke;SHI Zhong;KUANG Zhili;HU Xianghong;WAN Wu(CEPREI,Guangzhou 510610,China;Sichuan Jiuzhou Electric Group Co.,Ltd.,Mianyang 621000,China)
机构地区:[1]工业和信息化部电子第五研究所,广东广州510610 [2]四川九洲电器集团有限公司,四川绵阳621000
出 处:《电子产品可靠性与环境试验》2020年第S01期1-5,共5页Electronic Product Reliability and Environmental Testing
摘 要:研究了指数分布下经典统计试验方案和贝叶斯统计试验方案设计准则,指出了基于后验风险的贝叶斯统计试验方案设计准则的不足,提出了基于最大后验风险的贝叶斯统计试验方案设计准则,并得到了其共轭先验分布下的超参数解析式。在此基础上,给出了基于最大后验风险的贝叶斯统计试验方案设计解析表达式和区间估计方法,得到了零先验信息情况下的贝叶斯统计试验方案,并与经典统计试验方案进行了比较分析。结合实际指出了经典统计试验方案存在的不足,探讨分析了当前装备内外场可靠性水平表现不一致的可能原因,具有较大的工程应用价值。The design criteria of classical statistical test scheme and Bayesian statistical test scheme under exponential distribution are studied,and the deficiency of Bayesian statistical test scheme design criterion based on posterior risk is pointed out.The design criterion of Bayesian statistical test scheme based on maximum posterior risk is proposed and the hyperparametric distribution is obtained.On this basis,the analytical expression and interval estimation method of Bayesian statistical test scheme design based on maximum posterior risk are given,and the Bayesian based on maximum posterior risk are given,and the Bayesian statistical test scheme with zero prior information is obtained,and it is compared with the classical statistical test scheme.The shortcomings of the classical statistics test scheme are pointed out in combination with the actual situation.The possible reasons for the in consistent performan of the internal and external reliability level of equipment are discussed and analyzed,which has great engineering application value.
分 类 号:TB114.3[理学—概率论与数理统计]
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