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SALib: An open-source Python library for Sensitivity Analysis
2017 (English)In: The Journal of Open Source Software, ISSN 2475-9066, Vol. 2, no 9, p. 3873-3878Article in journal (Refereed) Published
Abstract [en]

SALib contains Python implementations of commonly used global sensitivity analysis methods, including Sobol (Sobol’ 2001, Andrea Saltelli (2002), Andrea Saltelli et al. (2010)), Morris (Morris 1991, Campolongo, Cariboni, and Saltelli (2007)), FAST (Cukier et al. 1973, A. Saltelli, Tarantola, and Chan (1999)), Delta Moment-Independent Measure (E. Borgonovo 2007, Plischke, Borgonovo, and Smith (2013)) Derivative-based Global Sensitivity Measure (DGSM) (Sobol’ and Kucherenko 2009) , and Fractional Factorial Sensitivity Analysis (Andrea Saltelli et al. 2008) methods. SALib is useful in simulation, optimisation and systems modelling to calculate the influence of model inputs or exogenous factors on outputs of interest. SALib exposes a range of global sensitivity analysis techniques to the scientist, researcher and modeller, making it very easy to easily implement the range of techniques into typical modelling workflows.

Place, publisher, year, edition, pages
2017. Vol. 2, no 9, p. 3873-3878
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Other Mathematics
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URN: urn:nbn:se:kth:diva-257705DOI: 10.21105/joss.00097OAI: oai:DiVA.org:kth-257705DiVA, id: diva2:1387255
Note

QC 20200122

Available from: 2020-01-21 Created: 2020-01-21 Last updated: 2020-01-22Bibliographically approved

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Publisher's full texthttp://joss.theoj.org/papers/10.21105/joss.00097 http://dx.doi.org/10.21105/joss.00097

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Usher, William

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