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含缺失数据时分组数据的AMSAA模型的Bayes分析
引用本文:李中恢,任海平.含缺失数据时分组数据的AMSAA模型的Bayes分析[J].兰州理工大学学报,2008,34(5).
作者姓名:李中恢  任海平
作者单位:1. 宜春学院,数学与计算机科学学院,江西,宜春,336000
2. 江西理工大学,南昌校区,江西,南昌,330013
摘    要:针对小子样变总体的含缺失数据时分组数据的AMSAA模型,提出Bayes可靠性增长分析方法,得到模型的参数以及系统能达到的MTBF的Bayes点估计和Bayes区间估计,结合实际例子进行运算.

关 键 词:可靠性增长  AMSAA模型  Bayes估计

Bayes analysis of AMSAA models of grouped data with data missing
LI Zhong-hui,REN Hai-ping.Bayes analysis of AMSAA models of grouped data with data missing[J].Journal of Lanzhou University of Technology,2008,34(5).
Authors:LI Zhong-hui  REN Hai-ping
Institution:LI Zhong-hui1,REN Hai-ping2(1.School of Mathematics , Computer Science,Yichun University,Yichun 336000,China,2.Nanchang Campus,Jiangxi University of Science , Technology,Nanchang 330013,China)
Abstract:A Bayes analysis method of reliability growth was proposed in connection with the AMSAA model of grouped data with data missing,in a small sub-sample complex.The Bayes point estimation and interval estimation,by which the model parameters and the system as well could reach to MTBF,were obtained.A computation was performed for an actual engineering problem.
Keywords:reliability growth  AMSAA models  Bayes estimation  
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