Probabilistic Assessment of CAE Models
2006-01-0456
04/03/2006
- Event
- Content
- 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.
- Pages
- 9
- Citation
- Rebba, R., and Mahadevan, S., "Probabilistic Assessment of CAE Models," SAE Technical Paper 2006-01-0456, 2006, https://doi.org/10.4271/2006-01-0456.