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Transition of social welfare in the European country clubs

By George A Christodoulakis and Emmanuel C Mamatzakis

Abstract

This paper presents a fully Bayesian approach that simultaneously combines non-overlapping (in time) basic event and higher-level event failure data in fault tree quantification. Such higher-level data often correspond to train, subsystem or system failure events. The fully Bayesian approach also automatically propagates the highest-level data to lower levels in the fault tree. A simple example illustrates our approach. The optimal allocation of resources for collecting additional data from a choice of different level events is also presented. The optimization is achieved using a genetic algorithm

Publisher: Elsevier
Year: 2010
DOI identifier: 10.1016/j.econlet.2010.05.012
OAI identifier: oai:sro.sussex.ac.uk:24074
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