Title: The Role of Sensitivity Analysis in the Corroboration of Models and its Links to Model Structural and Parametric Uncertainty (Guest editorial)
Authors: SALTELLI AndreaSCOTT H.
Citation: Reliability Engineering and System Safety vol. 57 p. 1-4
Publication Year: 1997
JRC N°: JRC14027
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC14027
Type: Articles in periodicals and books
Abstract: In September 1995, a conference on sensitivity analysis of model output was held in northern Italy (SAMO 95). The present special issue, together with its twin publication in a statistical journal aims to offer a perspective on the conference, perhaps the first ever to be entirely devoted to this important aspect of modelling activities. Sensitivity analysis (SA) is a familiar topic for the RESS reader. One of the most quoted review articles on sa methods was published on RESS. Sensitivity analysis is a well known topic in the context of reliability engineering; see for instance the problem of SA based robust Bayesian inference. More in general, among the key issues where SA plays a role are model identification, mechanisms reduction, control theory, and risk assessment.
JRC Directorate:Joint Research Centre Historical Collection

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