Variance-based sensitivity analysis: The quest for better estimators and designs between explorativity and economy
Samuele Lo Piano,
Federico Ferretti,
Arnald Puy,
Daniel Albrecht and
Andrea Saltelli
Reliability Engineering and System Safety, 2021, vol. 206, issue C
Abstract:
Variance-based sensitivity indices have established themselves as a reference amongst practitioners of sensitivity analysis of model outputs. A variance-based sensitivity analysis typically produces the first-order sensitivity indices Sj and the so-called total-effect sensitivity indices Tj for the uncertain factors of the mathematical model under analysis.
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832020307961
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:206:y:2021:i:c:s0951832020307961
DOI: 10.1016/j.ress.2020.107300
Access Statistics for this article
Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares
More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().