Uncertainty Quantification in a Regulatory Environment

Author:

Mousseau Vincent A.,Williams Brian J.

Publisher

Springer International Publishing

Reference15 articles.

1. Adams, B.M., Hooper, R.W., Lewis, A., McMahan, J.A. Jr., Smith, R., Swiler, L.P., Williams, B.J.: User guidelines and best practices for CASL VUQ analysis using Dakota. Technical report, CASL-U-2014-0038-000, Consortium for Advanced Simulation of LWRs (2014)

2. Arnold, B.C., Balakrishnan, N., Nagaraja, H.N.: A First Course in Order Statistics. SIAM, Philadelphia (2008)

3. Boyack, B., Duffey, R., Griffith, P., Lellouche, G., Levy, S., Rohatgi, U., Wilson, G., Wulff, W., Zuber, N.: Quantifying reactor safety margins: application of code scaling, applicability, and uncertainty evaluation methodology to a large-break, loss-of-coolant accident. Technical report, NUREG/CR-5249, Nuclear Regulatory Commission (1989)

4. Adams, B.M. et al.: Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis: Version 6.2 reference manual. Technical report, SAND2014-5015, Sandia National Laboratories (2015)

5. Adams, B.M. et al.: Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis: Version 6.2 theory manual. Technical report, SAND2014-4253, Sandia National Laboratories (2015)

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