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A Reliability Test of a Complex System Based on Empirical Likelihood.

Authors :
Zhou, Yan
Fu, Liya
Zhang, Jun
Hui, Yongchang
Source :
PLoS ONE; 10/19/2016, Vol. 11 Issue 10, p1-14, 14p
Publication Year :
2016

Abstract

To analyze the reliability of a complex system described by minimal paths, an empirical likelihood method is proposed to solve the reliability test problem when the subsystem distributions are unknown. Furthermore, we provide a reliability test statistic of the complex system and extract the limit distribution of the test statistic. Therefore, we can obtain the confidence interval for reliability and make statistical inferences. The simulation studies also demonstrate the theorem results. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19326203
Volume :
11
Issue :
10
Database :
Complementary Index
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
118908791
Full Text :
https://doi.org/10.1371/journal.pone.0163557