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dc.contributor.authorSALTELLI Andreaen_GB
dc.contributor.authorANNONI Paolaen_GB
dc.contributor.authorD'HOMBRES Beatriceen_GB
dc.date.accessioned2010-10-07T02:00:48Z-
dc.date.available2010-10-06en_GB
dc.date.available2010-10-07T02:00:48Z-
dc.date.created2010-09-21en_GB
dc.date.issued2010en_GB
dc.date.submitted2010-08-16en_GB
dc.identifier.citationProcedia - Social and Behavioral Sciences vol. 2 no. 6 p. 7592-7594en_GB
dc.identifier.issn1877-0428en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC60144-
dc.description.abstractThe most popular SA practice seen in the literature is that of ¿one-factor-at-a-time¿ (OAT). This consists of analyzing the effect of varying one model input factor at a time while keeping all other fixed. While the shortcomings of OAT are known from the statistical literature, its widespread use among modellers raises concern on the quality of the associated sensitivity analyses. We introduce a novel geometric proof of the inefficiency of OAT, with the purpose of providing the modelling community with a convincing and possibly definitive argument against OAT. Alternatives to OAT are indicated which are based on statistical theory, drawing from experimental design, regression analysis and sensitivity analysis proper.en_GB
dc.description.sponsorshipJRC.DG.G.9-Econometrics and applied statisticsen_GB
dc.format.mediumCD-ROMen_GB
dc.languageENGen_GB
dc.publisherElsevier Ltd.en_GB
dc.relation.ispartofseriesJRC60144en_GB
dc.titleHow to avoid a perfunctory sensitivity analysisen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.1016/j.sbspro.2010.05.133en_GB
JRC Directorate:Space, Security and Migration

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