Community Research and Development Information Service - CORDIS

Abstract

Risk assessment results are often presented with a very fine degree of numerical precision. Such a style conveys the impression of great accuracy, and distracts attention from the crucial question of the sensitivity of final results to changes in the initial assumptions. This work reviews briefly some examples that would support an extended role of quantitative sensitivity analysis (QSA) for models. Important features of a QSA are delineated and the methods that meet them are described. A case study is used for illustration.

There is a conference website at: http://www.bearcanyon.net/psam6/psam6.html

Additional information

Authors: SALTELLI A, European Commission, Joint Research Centre, Institute for the Protection and the Security of the Citizen, Ispra (IT);CAMPOLONGO F, European Commission, Joint Research Centre, Institute for the Protection and the Security of the Citizen, Ispra (IT);SAISANA M, European Commission, Joint Research Centre, Institute for the Protection and the Security of the Citizen, Ispra (IT)
Bibliographic Reference: Oral report given at: 6th International Conference on Probabilistic Safety Assessment and Management (PSAM 6) Organised by: Internat. Assoc. of Prob. Safety Assessm. & Manag. (IAPSAM) Held at: San Juan, Puerto Rico (US), 23-28 June 2002
Record Number: 200214772 / Last updated on: 2002-05-24
Category: PUBLICATION
Original language: en
Available languages: en