Publication detail
Simulation-based sensitivity analysis: Methods and software tools
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
Full text in the Digital Library
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/"
}