Development of a localized probabilistic sensitivity method to determine random variable regional importance
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DOI: 10.1016/j.ress.2011.04.003
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References listed on IDEAS
- Kleijnen, Jack P. C. & Rubinstein, Reuven Y., 1996.
"Optimization and sensitivity analysis of computer simulation models by the score function method,"
European Journal of Operational Research, Elsevier, vol. 88(3), pages 413-427, February.
- Kleijnen, J.P.C. & Rubinstein, R.Y., 1995. "Optimization and sensitivity analysis of computer simulation models by the score function method," Other publications TiSEM bf6eb5a0-3fef-46ef-a6f4-9, Tilburg University, School of Economics and Management.
- Kleijnen, J.P.C. & Rubinstein, R.Y., 1995. "Optimization and sensitivity analysis of computer simulation models by the score function method," Discussion Paper 1995-13, Tilburg University, Center for Economic Research.
- Kleijnen, J.P.C. & Rubinstein, R.Y., 1995. "Optimization and Sensitivity Analysis of Computer Similation Models by the Score Function Method," Papers 9513, Tilburg - Center for Economic Research.
- Wu, Y-T. & Mohanty, Sitakanta, 2006. "Variable screening and ranking using sampling-based sensitivity measures," Reliability Engineering and System Safety, Elsevier, vol. 91(6), pages 634-647.
- Kleijnen, J.P.C. & Rubinstein, R.Y., 1996. "Optimization and Sensitivity Analysis of Computer Simulation Models by the Score Function Method," Other publications TiSEM 958c9b9a-544f-48f3-a3d1-c, Tilburg University, School of Economics and Management.
- H. Millwater & A. Bates & E. Vazquez, 2011. "Probabilistic sensitivity methods for correlated normal variables," International Journal of Reliability and Safety, Inderscience Enterprises Ltd, vol. 5(1), pages 1-20.
- Helton, J.C. & Johnson, J.D. & Sallaberry, C.J. & Storlie, C.B., 2006. "Survey of sampling-based methods for uncertainty and sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1175-1209.
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- Chabridon, Vincent & Balesdent, Mathieu & Bourinet, Jean-Marc & Morio, Jérôme & Gayton, Nicolas, 2018. "Reliability-based sensitivity estimators of rare event probability in the presence of distribution parameter uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 164-178.
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Keywords
Probabilistic sensitivities; Score Function sensitivities; Localized sensitivity;All these keywords.
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