A Competing Risks Model With Multiply Censored Reliability Data Under Multivariate Weibull Distributions

A competing risks model is composed of more than one failure mode that naturally arises when reliability systems are made of two or more components. A series system fails if any of its components fail. As these components are all part of the same system, they may be correlated. In this paper, we con...

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Vydané v:	IEEE transactions on reliability Ročník 68; číslo 2; s. 462 - 475
Hlavní autori:	Fan, Tsai-Hung, Wang, Yi-Fu, Ju, She-Kai
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.06.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Component reliability Computer simulation Data models Economic models Expectation–maximization (EM) algorithm Exponential distribution Failure modes Failure times Fans Marshall–Olkin Weibull distribution masked data Mathematical models Maximum likelihood estimates Maximum likelihood estimation Mean time to failure multiply censored life test Multivariate analysis Parameter estimation Quantiles Reliability series system Silicon Statistical analysis Statistical inference Weibull distribution
ISSN:	0018-9529, 1558-1721
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