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Combinatorial approaches to Monte Carlo estimation of network lifetime distribution

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  • I. Gertsbakh
  • Y. Shpungin

Abstract

The purpose of this paper is estimating the lifetime distribution for two types of dynamic networks. The first one is a network, with edges existing in time, which may be erased independently of each other. The second one is a network with renewable edges. We consider effective Monte Carlo methods based on combinatorial approaches which were suggested earlier for estimating parameters of static networks. Copyright © 2004 John Wiley & Sons, Ltd.

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  • I. Gertsbakh & Y. Shpungin, 2004. "Combinatorial approaches to Monte Carlo estimation of network lifetime distribution," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 20(1), pages 49-57, January.
    • Handle: RePEc:wly:apsmbi:v:20:y:2004:i:1:p:49-57
    DOI: 10.1002/asmb.514
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    Cited by:

    1. Levitin, G. & Gertsbakh, I. & Shpungin, Y., 2011. "Evaluating the damage associated with intentional network disintegration," Reliability Engineering and System Safety, Elsevier, vol. 96(4), pages 433-439.

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