Title: Screening Important Inputs in Models with Strong Interaction Properties
Authors: SALTELLI AndreaCAMPOLONGO FrancescaCARIBONI Jessica
Citation: RELIABILITY ENGINEERING & SYSTEM SAFETY vol. 94 no. 7 p. 1149-1155
Publisher: ELSEVIER SCI LTD
Publication Year: 2009
JRC N°: JRC49783
ISSN: 0951-8320
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC49783
DOI: 10.1016/j.ress.2008.10.007
Type: Articles in Journals
Abstract: We introduce a new method for screening inputs in mathematical or computational models with large numbers of inputs. The method proposed here represents an improvement over the best available practice for this setting when dealing with models having strong interaction effects. When the sample size is suffciently high the same design can also be used to obtain accurate quantitative estimates of the variance-based sensitivity measures: the same simulations can be used to obtain estimates of the variance-based measures according to the Sobol' and the Jansen formulas. Results demonstrate that Sobol' is more effcient for the computation of the first order indices, while Jansen performs better for the computation of the total indices.
JRC Institute:Institute for the Protection and Security of the Citizen

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