Simulation-based sensitivity analysis: Methods and software tools

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Novak_2021.pdf(967.07 KB)
Date
2021-09-17
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Mark
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CAL-TEK
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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.
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Keywords
Sensitivity analysis, Statistical analysis, Latin Hypercube simulation
Citation
Proceedings of the 33rd European Modeling & Simulation Symposium. 2021, p. 158-164.
https://www.cal-tek.eu/proceedings/i3m/2021/emss/022/
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Peer-reviewed
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en
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
DOI
10.46354/i3m.2021.emss.022
URI
http://hdl.handle.net/11012/204039
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