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Sensitivity analysis for model output : Performance of black box techniques on three international benchmark exercises

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  • Saltelli, A.
  • Homma, T.

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  • Saltelli, A. & Homma, T., 1992. "Sensitivity analysis for model output : Performance of black box techniques on three international benchmark exercises," Computational Statistics & Data Analysis, Elsevier, vol. 13(1), pages 73-94, January.
    • Handle: RePEc:eee:csdana:v:13:y:1992:i:1:p:73-94
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    Cited by:

    1. Saltelli, Andrea & Bolado, Ricardo, 1998. "An alternative way to compute Fourier amplitude sensitivity test (FAST)," Computational Statistics & Data Analysis, Elsevier, vol. 26(4), pages 445-460, February.
    2. Kleijnen, J.P.C., 1995. "Sensitivity analysis and related analysis : A survey of statistical techniques," Research Memorandum FEW 706, Tilburg University, School of Economics and Management.
    3. Steiger, David M. & Sharda, Ramesh, 1996. "Analyzing mathematical models with inductive learning networks," European Journal of Operational Research, Elsevier, vol. 93(2), pages 387-401, September.
    4. Saltelli, A. & Andres, T. H. & Homma, T., 1995. "Sensitivity analysis of model output. Performance of the iterated fractional factorial design method," Computational Statistics & Data Analysis, Elsevier, vol. 20(4), pages 387-407, October.
    5. Kimberly M. Thompson, 2002. "Variability and Uncertainty Meet Risk Management and Risk Communication," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 647-654, June.
    6. Yang Yang & Haiyan Liu, 2022. "Sensitivity analysis of disease-information coupling propagation dynamics model parameters," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-15, March.

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