Simulation-based sensitivity analysis: Methods and software tools

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Date
2021-09-17
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10.46354/i3m.2021.emss.022
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Abstract
The topic of the paper is simulation-based sensitivity analysis with emphasize on the use of the small-sample Latin Hypercube Sampling simulation method. Three approaches are described in the paper: Spearman’s rank-order correlation, covariance-based sensitivity analysis and input perturbation-based sensitivity analysis. Software tools are briefly described, especially SEAN software as an effective sensitivity analysis environment developed to simplify sensitivity analysis of a user-defined numerical model. An example application is presented.
Keywords
Sensitivity analysis, Statistical analysis, Latin Hypercube simulation
Persistent identifier
http://hdl.handle.net/11012/204039
Document type
Peer reviewed
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Source
Proceedings of the 33rd European Modeling & Simulation Symposium. 2021, p. 158-164.
https://www.cal-tek.eu/proceedings/i3m/2021/emss/022/
DOI
10.46354/i3m.2021.emss.022
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International