Estimation of Reliability Parameters Under Incomplete Primary Information

被引：0
作者：
A. N. Golodnikov
P. S. Knopov
V. A. Pepelyaev
机构：
[1] Ukrainian Academy of Sciences,Candidate of physico
[2] Ukrainian Academy of Sciences,mathematical sciences and lead researcher at the V.M. Glushkov Institute of Cybernetics
[3] Ukrainian Academy of Sciences,Doctor of physico
来源：
Theory and Decision | 2004年 / 57卷
关键词：
Reliability parameters; Bayesian procedures; Incomplete information;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We consider the procedure for small-sample estimation of reliability parameters. The main shortcomings of the classical methods and the Bayesian approach are analyzed. Models that find robust Bayesian estimates are proposed. The sensitivity of the Bayesian estimates to the choice of the prior distribution functions is investigated using models that find upper and lower bounds. The proposed models reduce to optimization problems in the space of distribution functions.
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页码：331 / 344
页数：13
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