Statistical Validation Of Engineering And Scientific Models
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Statistical Validation Of Engineering And Scientific Models
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Author : Richard Gene Hills
language : en
Publisher:
Release Date : 2003
Statistical Validation Of Engineering And Scientific Models written by Richard Gene Hills and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computer software categories.
Statistical Validation Of Engineering And Scientific Models With Application To Cth
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Author : Richard G. Hills
language : en
Publisher:
Release Date : 2001
Statistical Validation Of Engineering And Scientific Models With Application To Cth written by Richard G. Hills and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computer programs categories.
Statistical Validation Of Engineering And Scientific Models
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Author : Richard G. Hills
language : en
Publisher:
Release Date : 2002
Statistical Validation Of Engineering And Scientific Models written by Richard G. Hills and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computer programs categories.
Statistical Validation Of Engineering And Scientific Models
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Author :
language : en
Publisher:
Release Date : 2003
Statistical Validation Of Engineering And Scientific Models written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.
Several major issues associated with model validation are addressed here. First, we extend the application-based, model validation metric presented in Hills and Trucano (2001) to the Maximum Likelihood approach introduced in Hills and Trucano (2002). This method allows us to use the target application of the code to weigh the measurements made from a validation experiment so that those measurements that are most important for the application are more heavily weighted. Secondly, we further develop the linkage between suites of validation experiments and the target application so that we can (1) provide some measure of coverage of the target application and, (2) evaluate the effect of uncertainty in the measurements and model parameters on application level validation. We provide several examples of this approach based on steady and transient heat conduction, and shock physics applications.
Statistical Validation Of Engineering And Scientific Models
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Author : Richard Gene Hills
language : en
Publisher:
Release Date : 2002
Statistical Validation Of Engineering And Scientific Models written by Richard Gene Hills and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Experimental design categories.
Two major issues associated with model validation are addressed here. First, we present a maximum likelihood approach to define and evaluate a model validation metric. The advantage of this approach is it is more easily applied to nonlinear problems than the methods presented earlier by Hills and Trucano (1999, 2001); the method is based on optimization for which software packages are readily available; and the method can more easily be extended to handle measurement uncertainty and prediction uncertainty with different probability structures. Several examples are presented utilizing this metric. We show conditions under which this approach reduces to the approach developed previously by Hills and Trucano (2001). Secondly, we expand our earlier discussions (Hills and Trucano, 1999, 2001) on the impact of multivariate correlation and the effect of this on model validation metrics. We show that ignoring correlation in multivariate data can lead to misleading results, such as rejecting a good model when sufficient evidence to do so is not available.
Statistical Validation Of Engineering And Scientific Models
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Author : Richard G. Hills
language : en
Publisher:
Release Date : 2004
Statistical Validation Of Engineering And Scientific Models written by Richard G. Hills and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Monte Carlo method categories.
Statistical Validation Of Engineering And Scientific Models
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Author :
language : en
Publisher:
Release Date : 2002
Statistical Validation Of Engineering And Scientific Models written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with categories.
Two major issues associated with model validation are addressed here. First, we present a maximum likelihood approach to define and evaluate a model validation metric. The advantage of this approach is it is more easily applied to nonlinear problems than the methods presented earlier by Hills and Trucano (1999, 2001); the method is based on optimization for which software packages are readily available; and the method can more easily be extended to handle measurement uncertainty and prediction uncertainty with different probability structures. Several examples are presented utilizing this metric. We show conditions under which this approach reduces to the approach developed previously by Hills and Trucano (2001). Secondly, we expand our earlier discussions (Hills and Trucano, 1999, 2001) on the impact of multivariate correlation and the effect of this on model validation metrics. We show that ignoring correlation in multivariate data can lead to misleading results, such as rejecting a good model when sufficient evidence to do so is not available.
Statistical Foundations For Model Validation
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Author : Robert G. Easterling
language : en
Publisher:
Release Date : 2003
Statistical Foundations For Model Validation written by Robert G. Easterling and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computer programs categories.
Description Of The Sandia Validation Metrics Project
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Author : Timothy G. Trucano
language : en
Publisher:
Release Date : 2001
Description Of The Sandia Validation Metrics Project written by Timothy G. Trucano and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computer programs categories.
This report describes the underlying principles and goals of the Sandia ASCI Verification and Validation Program Validation Metrics Project. It also gives a technical description of two case studies, one in structural dynamics and the other in thermomoechanics, that serve to focus the technical work of the project in Fiscal Year 2001.
Case Study For Model Validation
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Author : Kevin J.. Dowding
language : en
Publisher:
Release Date : 2004
Case Study For Model Validation written by Kevin J.. Dowding and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Chemical kinetics categories.