An illustration of the use of an approach for treating model uncertainties in risk assessment
Bjerga, Torbjørn,
Terje Aven and
Enrico Zio
Reliability Engineering and System Safety, 2014, vol. 125, issue C, 46-53
Abstract:
This paper discusses an approach for treating model uncertainties in relation to quantitative risk assessments. The analysis is based on a conceptual framework where a distinction is made between model error—the difference between the model prediction and the true future quantity—and model output uncertainty—the (epistemic) uncertainty about the magnitude of this error. The aim of the paper is to provide further clarifications and explanations of important issues related to the understanding and implementation of the approach, using a detailed study of a Poisson model case as an illustration. Special focus is on the way the uncertainties are assessed.
Keywords: Risk assessment; Model uncertainty; Subjective probabilities (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832014000155
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:125:y:2014:i:c:p:46-53
DOI: 10.1016/j.ress.2014.01.014
Access Statistics for this article
Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares
More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().