Monte Carlo sensitivity analysis of an Eulerian large-scale air pollution model
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DOI: 10.1016/j.ress.2011.06.007
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References listed on IDEAS
- Pierre L'Ecuyer & Christian Lécot & Bruno Tuffin, 2008. "A Randomized Quasi-Monte Carlo Simulation Method for Markov Chains," Operations Research, INFORMS, vol. 56(4), pages 958-975, August.
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Cited by:
- Hou, Tianfeng & Nuyens, Dirk & Roels, Staf & Janssen, Hans, 2019. "Quasi-Monte Carlo based uncertainty analysis: Sampling efficiency and error estimation in engineering applications," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
- Pengfei Wei & Zhenzhou Lu & Jingwen Song, 2014. "Moment‐Independent Sensitivity Analysis Using Copula," Risk Analysis, John Wiley & Sons, vol. 34(2), pages 210-222, February.
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Keywords
Variance-based global sensitivity analysis; Multidimensional numerical integration; Monte Carlo and quasi-Monte Carlo algorithms; Air pollution modeling;All these keywords.
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