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Transition of social welfare in the European country clubs
journal contribution
posted on 2023-06-08, 04:59 authored by George A Christodoulakis, Emmanuel C MamatzakisThis 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.
History
Publication status
- Published
Journal
Economics LettersISSN
01651765Publisher
ElsevierExternal DOI
Issue
2Volume
108Page range
178-180Department affiliated with
- Business and Management Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06Usage metrics
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