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/"
}