A unifying framework for probabilistic validation metrics

Gardner, P., Lord, C. orcid.org/0000-0002-2470-098X and Barthorpe, R. orcid.org/0000-0002-6645-8482 (2019) A unifying framework for probabilistic validation metrics. Journal of Verification, Validation and Uncertainty Quantification, 4 (3). 031005. ISSN 2377-2158

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 ASME. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Dates:
  • Published (online): 25 November 2019
  • Published: 1 September 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/N010884/1
EUROPEAN REGIONAL DEVELOPMENT FUNDUNSPECIFIED
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/J013714/1
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/R006768/1
Depositing User: Symplectic Sheffield
Date Deposited: 28 Nov 2019 15:51
Last Modified: 05 Dec 2019 14:19
Status: Published
Publisher: American Society of Mechanical Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1115/1.4045296

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Filename: asme_vvuq_validationmetrics_2019.pdf

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