@article{JRC17165,
	address = {},
	year = {1999},
	author = {Draper D and Pereira A and Prado P and Saltelli A and Cheal R and Eguilior S and Mendes B and Tarantola S},
	abstract = {A two-step approach to sensitivity analysis of model output in large computational models is proposed. A preliminary screening exercise is suggested in order to identify the subset of the most potentially explanatory factors. Afterwards, a quantitative method is recommended on the subset of pre-selected inputs. The advantage of the proposed procedure is that, very often, among a large number of input factors, only a few have a significant effect on the model output. The approach provides quantitative sensitivity measures while controlling the computational cost of the experiment. The procedure has been tested on a recent version of a chemical kinetics model of the tropospheric oxidation pathways of dimethylsulphide, including 68 uncertain factors.
		},
	title = {Scenario and Parametric Uncertainty in GESAMAC. A Methodological Study in Nuclear Waste Disposal Risk Assessment.},
	type = {},
	url = {},
	volume = {117},
	number = {},
	journal = {Computer Physics Communications},
	pages = {142-155},
	issn = {},
	publisher = {},
	doi = {}
}