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Robust global sensitivity analysis under deep uncertainty via scenario analysis

Gao, Lei, Bryan, Brett A., Nolan, Martin, Connor, Jeffery D., Song, Xiaodong and Zhao, Gang 2016, Robust global sensitivity analysis under deep uncertainty via scenario analysis, Environmental modelling and software, vol. 76, pp. 154-166, doi: 10.1016/j.envsoft.2015.11.001.

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Title Robust global sensitivity analysis under deep uncertainty via scenario analysis
Author(s) Gao, Lei
Bryan, Brett A.ORCID iD for Bryan, Brett A. orcid.org/0000-0003-4834-5641
Nolan, Martin
Connor, Jeffery D.
Song, Xiaodong
Zhao, Gang
Journal name Environmental modelling and software
Volume number 76
Start page 154
End page 166
Total pages 13
Publisher Elsevier
Place of publication Kidlington, Eng.
Publication date 2016-02
ISSN 1364-8152
1873-6726
Keyword(s) global sensitivity analysis
robust sensitivity analysis
eFAST
decision theory
land use change
deep uncertainty
Language eng
DOI 10.1016/j.envsoft.2015.11.001
Indigenous content off
Field of Research MD Multidisciplinary
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2015, Elsevier
Free to Read? Yes
Free to Read Start Date 2018-03-01
Use Rights Creative Commons Attribution Non-Commercial No-Derivatives licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30102069

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.