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Stochastic Models of Cascading Failures

Published online by Cambridge University Press:  14 July 2016

Andrew W. Swift*
Affiliation:
University of Nebraska at Omaha
*
Postal address: Department of Mathematics, University of Nebraska at Omaha, 6001 Dodge Street, Omaha NE 68182, USA. Email address: [email protected]
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Abstract

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What is a ‘cascading failure’? Whilst most people have an intuitive idea of what is meant by cascading, no definition exists within the framework of reliability theory. The aim of this paper is to explore the field of component dependence within a network structure, and to construct a definition of cascading failure.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 2008 

References

[1] Freund, J. E. (1961). A bivariate extension of the exponential distribution. J. Amer. Statist. Assoc. 56, 971977.CrossRefGoogle Scholar
[2] Lindley, D. V. and Singpurwalla, N. D. (2002). On exchangeable, causal and cascading failures. Statist. Sci. 17, 209219.CrossRefGoogle Scholar
[3] Marshall, A. W. and Olkin, I. (1967). A multivariate exponential distribution. J. Amer. Statis. Assoc. 62, 3044.CrossRefGoogle Scholar
[4] Singpurwalla, N. D. (2002). On causality and causal mechanisms. ISI Rev. 10, 5378.Google Scholar
[5] Suppes, P. (1970). A Probabilistic Theory of Causality. North-Holland, Amsterdam.Google Scholar