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NOVÁK, D. LEHKÝ, D. SLOWIK, O.
Original Title
Simulation-based sensitivity analysis: Methods and software tools
Type
conference paper
Language
English
Original 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
Authors
NOVÁK, D.; LEHKÝ, D.; SLOWIK, O.
Released
17. 9. 2021
Publisher
CAL-TEK
ISBN
978-88-85741-57-7
Book
Proceedings of the 33rd European Modeling & Simulation Symposium
Pages from
158
Pages to
164
Pages count
7
URL
https://www.cal-tek.eu/proceedings/i3m/2021/emss/022/
Full text in the Digital Library
http://hdl.handle.net/11012/204039
BibTex
@inproceedings{BUT176406, author="Drahomír {Novák} and David {Lehký} and Ondřej {Slowik}", title="Simulation-based sensitivity analysis: Methods and software tools", booktitle="Proceedings of the 33rd European Modeling & Simulation Symposium", year="2021", pages="158--164", publisher="CAL-TEK", doi="10.46354/i3m.2021.emss.022", isbn="978-88-85741-57-7", url="https://www.cal-tek.eu/proceedings/i3m/2021/emss/022/" }