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Quantifying Model Error

Published

Author(s)

Kevin B. McGrattan, Blaza Toman

Abstract

A methodology is proposed for reporting the results of fire model validation studies that consist mainly of comparisons of model predictions and experimental measurements. The difference between the two is a combination of model error and experimental uncertainty. Assuming that one can quantify the experimental uncertainty, the model error can be estimated using a relatively simple form of Bayesian analysis.
Citation
Journal of Fire Protection Engineering

Keywords

fire modeling, validation

Citation

McGrattan, K. and Toman, B. (2011), Quantifying Model Error, Journal of Fire Protection Engineering, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=904174 (Accessed October 8, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact [email protected].

Created February 11, 2011, Updated February 19, 2017
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