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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Bibliographic Details
Published in:	IEEE transactions on reliability Vol. 68; no. 2; pp. 462 - 475
Main Authors:	Fan, Tsai-Hung, Wang, Yi-Fu, Ju, She-Kai
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.06.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
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