Please use this identifier to cite or link to this item:
|Title:||The Role of Sensitivity Analysis in the Corroboration of Models and its Links to Model Structural and Parametric Uncertainty (Guest editorial)|
|Authors:||SALTELLI Andrea; SCOTT H.|
|Citation:||Reliability Engineering and System Safety vol. 57 p. 1-4|
|Type:||Articles in Journals|
|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 Institute:||Joint Research Centre Historical Collection|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.