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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 Mamatzakis
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.

History

Publication status

  • Published

Journal

Economics Letters

ISSN

01651765

Publisher

Elsevier

Issue

2

Volume

108

Page range

178-180

Department affiliated with

  • Business and Management Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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