@article{JRC14027,
	address = {},
	year = {1997},
	author = {Saltelli A and Scott H},
	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.
		},
	title = {The Role of Sensitivity Analysis in the Corroboration of Models and its Links to Model Structural and Parametric Uncertainty (Guest editorial)},
	type = {},
	url = {},
	volume = {57},
	number = {},
	journal = {Reliability Engineering and System Safety},
	pages = {1-4},
	issn = {},
	publisher = {},
	doi = {}
}