Probabilistic Assessment of CAE Models

Probabilistic Assessment of CAE Models

This paper investigates a wide range of statistical methods for application in model validation under uncertainty. Hypothesis testing methods are explored first and an interval-based testing is found to be more practically useful for model validation than the commonly used point null hypothesis test...

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Veröffentlicht in:SAE transactions 2006-01, Vol.115, p.383-389
Hauptverfasser: Rebba, Ramesh, Mahadevan, Sankaran
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description This paper investigates a wide range of statistical methods for application in model validation under uncertainty. Hypothesis testing methods are explored first and an interval-based testing is found to be more practically useful for model validation than the commonly used point null hypothesis testing. Also, a more direct approach is proposed by formulating model validation as a reliability estimation problem. The proposed methods are illustrated and compared using numerical examples.
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title Probabilistic Assessment of CAE Models
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