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Abstract

We explore the tasks where sensitivity analysis can be useful and try to assess its relevance within the modelling process. We suggest that the SA could considerably assist in the use of models, by providing objective criteria of judgement for different phrases of the model building process: model identification/discrimination, model calibration, model corroboration.

We review some new global quantitative methods and suggest that these might enlarge the scope for sensitivity analysis in computational and statistical modelling practise. Among the advantages of the new methods are their robustness, model independence, and computational convenience. The discussion is made on the basis of a worked example. .

Additional information

Authors: SALTELLI A, ISIS, JRC-Ispra (IT);TARANTOLA S, ISIS, JRC-Ispra (IT)
Bibliographic Reference: Paper presented: ESREL 2000, Edinburgh (GB), 14-17th May (1999)
Availability: Available from Public Relations and Publications Unit, Ispra (IT)
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