Calibration, validation, and sensitivity analysis: What's what
By T. Trucano, Laura Painton Swiler, Takera Igusa, William Oberkampf, Martin Pilch. Reliability Engineering & System Safety, 2006
388 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Statistical and Nonlinear Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/90567adadaf3417e854cfec0b3e9a734996f33ba
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- William Oberkampf
- Scott Ferson
- Sankaran Mahadevan
- Vicente J. Romero
- T. Trucano
- Laura Painton Swiler
- John M. McFarland
- Bruno Sudret
In Statistical and Nonlinear Physics
In Statistics and Probability
- William Oberkampf
- Scott Ferson
- Sankaran Mahadevan
- Laura Painton Swiler
- T. Trucano
- Vicente J. Romero
- John M. McFarland
- Zhen Hu
Citations in the corpus
- Validation of imprecise probability models (2009, methodology): “Validation is the comparison of the predictions of a theory or model against empirical data (AIAA 1998; ASME 2006; Oberkampf and Truncano 2002; Oberkampf et al. 2004; Oberkampf and Barone 2006; Hills 2006; Trucano et al. 2006; Romero 2007; Ferson et al. 2008).”
- Calibration and Uncertainty Analysis for Computer Simulations with Multivariate Output (2008, background): “problem in terms of nonlinear regression analysis [2].”
- Verification and validation benchmarks (2008, background): “We believe that calibration should be undertaken when it is clearly understood that this activity is a response to V&V assessment, not a replacement for V&V assessment [17-19].”