@article{JRC33269,
	address = {Oxford (United Kingdom)},
	year = {2007},
	author = {Sobol' I and Tarantola S and Gatelli D and Kucherenko S and Mauntz W},
	abstract = {One of the major settings of global sensitivity analysis is that of fixing non influential factors, in order to reduce the dimensionality of a model. However, this is usually done without knowing the magnitude of the approximation error being produced. This paper presents and proves a new theorem for the estimation of the average approximation error generated when fixing non influential factors. A simple function where analytical solutions are available is used as test case to illustrate the theorem; furthermore this function is used to show the theorem applicability to sensitivity analysis by groups of factors. Improved formulas for the estimation of sensitivity indices are presented; such formulas allow for more accurate estimations at a lower computational cost with respect to the original method of Sobol’.
		
		
		
		
		
		
		
		
		
		
		
		
		
		},
	title = {Estimating the Approximation Error when Fixing Unessential Factors in Global Sensitivity Analysis},
	type = {},
	url = {},
	volume = {92},
	number = {},
	journal = {RELIABILITY ENGINEERING & SYSTEM SAFETY},
	pages = {957-960},
	issn = {},
	publisher = {ELSEVIER SCI LTD},
	doi = {10.1016/j.ress.2006.07.001}
}