Measures of agreement between computation and experiment: Validation metrics

By William Oberkampf, Matthew F. Barone. Journal of Computational Physics, 2004

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Confidence region estimation techniques for nonlinear regression in groundwater flow: Three case studies (2007, unknown): “Some examples include CFD (computational fluid dynamics) [Oberkampf and Barone, 2005], groundwater flow [Beauheim and Roberts, 2002], etc. Nonlinear models also include functional approximations of uncertain data via regression or response surface models.”
A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011, background): “During the last ten years there has been a flurry of activity dealing with the construction of validation metrics [13],[35]-[37].”
Validation of imprecise probability models (2009, methodology): “Several approaches to validation have recently been suggested based on simple comparisons of trends in means (e.g., Oberkampf and Barone 2006), more elaborate hypothesis testing (e.g., Hills and Trucano 2002; Hills and Leslie 2003; Rutherford and Dowding 2003; Chen et al. 2004; © 2008 by S. Ferson…”