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Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12008/5170 How to cite
Title: Recursive variance reduction in reliability analysis
Authors: Canale, Eduardo
Cancela, Héctor
Romero, Pablo
Robledo, Franco
Type: Reporte técnico
Keywords: Stochastic binary system, Network reliability, Recursive variance reduction, Crude Monte Carlo
Issue Date: 2014
Abstract: Network reliability deals with reliability metrics of large classes of mul- ticomponent systems. Recursive Variance Reduction (RVR) is a powerful pointwise estimation method, widely applied in network reliability anal- ysis. In this paper, RVR is extended to arbitrary Stochastic Binary Sys- tems, with minor requirements. Additionally, its variance is again lower than Crude Monte Carlo (CMC), in this general context.
Publisher: UR.FI-INCO
Series or collection: Reportes Técnicos 14-15
ISSN: 0797-6410
Citation: CANALE, E., CANCELA, H., ROMERO, P., y otros. "Recursive variance reduction in reliability analysis". Montevideo : UR.FI-INCO, 2014. Reportes Técnicos 14-15.
License: Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0)
Appears in Collections:Reportes Técnicos - Instituto de Computación

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