The contribution to the sample mean plot, originally proposed by Sinclair (1993), is revived and further developed as practical tool for global sensitivity analysis. The potentials of this simple and versatile graphical tool are discussed. Beyond the qualitative assessment provided by this approach, a statistical test is proposed for sensitivity analysis. A case study that simulates the transport of radionu- clides through the geosphere from an underground disposal vault containing nuclear waste (OECD 1993) is considered as a benchmark. The new approach is tested against a very efficient sensitivity analysis method based on state dependent parameter meta-modelling (Ratto et al. 2007).JRC.G.9-Econometrics and statistical support to antifrau
In the field of modelling it is easier to find academic papers, guidelines tailored to specific disc...
International audienceGlobal sensitivity analysis (GSA) of numerical simulators aims at studying the...
The solution of several operations research problems requires the creation of a quantitative model. ...
This chapter makes a review, in a complete methodological framework, of various global sensitivity a...
International audienceAnalyse de sensibilite globale appliquee a un modele numerique de migration de...
This paper presents “contribution to sample variance plot”, a natural extension of the “contribution...
International audienceGlobal sensitivity analysis is used to quantify the influence of uncertain inp...
International audienceIn the framework of uncertainty treatment in numerical simulation, Global sens...
International audienceIn a case of radioactive release in the environment, modeling the radionuclide...
AbstractThe studies presented in this paper, describe the application of global sensitivity analysis...
Global sensitivity analysis (GSA) of numerical simulators aims at studying the global impact of the ...
We present two methods for the estimation of main effects in global sensitivity analysis. The method...
Experiments are conducted to draw inferences about an entire ensemble based on a selected number of ...
In this paper we review several uncertainty and sensitivity methods available in the literature and ...
In the field of modelling it is easier to find academic papers, guidelines tailored to specific disc...
International audienceGlobal sensitivity analysis (GSA) of numerical simulators aims at studying the...
The solution of several operations research problems requires the creation of a quantitative model. ...
This chapter makes a review, in a complete methodological framework, of various global sensitivity a...
International audienceAnalyse de sensibilite globale appliquee a un modele numerique de migration de...
This paper presents “contribution to sample variance plot”, a natural extension of the “contribution...
International audienceGlobal sensitivity analysis is used to quantify the influence of uncertain inp...
International audienceIn the framework of uncertainty treatment in numerical simulation, Global sens...
International audienceIn a case of radioactive release in the environment, modeling the radionuclide...
AbstractThe studies presented in this paper, describe the application of global sensitivity analysis...
Global sensitivity analysis (GSA) of numerical simulators aims at studying the global impact of the ...
We present two methods for the estimation of main effects in global sensitivity analysis. The method...
Experiments are conducted to draw inferences about an entire ensemble based on a selected number of ...
In this paper we review several uncertainty and sensitivity methods available in the literature and ...
In the field of modelling it is easier to find academic papers, guidelines tailored to specific disc...
International audienceGlobal sensitivity analysis (GSA) of numerical simulators aims at studying the...
The solution of several operations research problems requires the creation of a quantitative model. ...