The Fourth International Conference on Sensitivity Analysis of Model Output (SAMO 2004) was held from March 8 through March 11, 2004, in Santa Fe, New Mexico. The previous SAMO conferences were held in Belgirate, Italy (September 25–27, 1995), Venice, Italy (April 19–22, 1998), and Madrid, Spain (June 18–19, 2001). The SAMO conferences are single-track meetings that promote in-depth technical discussions of issues related to the uncertainty and sensitivity analysis of model predictions. In the context of the SAMO conferences, uncertainty analysis refers to the determination of the uncertainty in model predictions that results from uncertainty in model inputs, and sensitivity analysis refers to the determination of the contributions of the u...
International audienceSensitivity analysis (SA) is en route to becoming an integral part of mathemat...
Sensitivity analysis provides information on the relative importance of model input parameters and a...
Sensitivity analysis assesses the influence of input parameters on the conclusion of a model. Tradit...
The Second International Symposium on Sensitivity Analysis of Model Output, SAMO98, was held in Veni...
This editorial presents the content of the special issue Advances in Sensitivity Analysis that follo...
Existing guidelines for impact assessment recommend that mathematical modelling of real or man-made ...
Sensitivity analysis (SA) as a ‘formal’ and ‘standard’ component of scientific development and polic...
Using Gaussian process metamodels for sensitivity analysis of an individual-based model of a pig fat...
The solution of several operations research problems requires the creation of a quantitative model. ...
Sensitivity analysis (SA) is en route to becoming an integral part of mathematical modeling. The tre...
In the field of modelling it is easier to find academic papers, guidelines tailored to specific disc...
Sensitivity analysis provides information on the relative importance of model input parameters and a...
Although uncertainty in input factor distributions is known to affect sensitivity analysis (SA) resu...
Sensitivity analysis, mandated by existing guidelines as a good practice to use in conjunction to ma...
Practices for global sensitivity analysis of model output are described in a recent textbook (Saltel...
International audienceSensitivity analysis (SA) is en route to becoming an integral part of mathemat...
Sensitivity analysis provides information on the relative importance of model input parameters and a...
Sensitivity analysis assesses the influence of input parameters on the conclusion of a model. Tradit...
The Second International Symposium on Sensitivity Analysis of Model Output, SAMO98, was held in Veni...
This editorial presents the content of the special issue Advances in Sensitivity Analysis that follo...
Existing guidelines for impact assessment recommend that mathematical modelling of real or man-made ...
Sensitivity analysis (SA) as a ‘formal’ and ‘standard’ component of scientific development and polic...
Using Gaussian process metamodels for sensitivity analysis of an individual-based model of a pig fat...
The solution of several operations research problems requires the creation of a quantitative model. ...
Sensitivity analysis (SA) is en route to becoming an integral part of mathematical modeling. The tre...
In the field of modelling it is easier to find academic papers, guidelines tailored to specific disc...
Sensitivity analysis provides information on the relative importance of model input parameters and a...
Although uncertainty in input factor distributions is known to affect sensitivity analysis (SA) resu...
Sensitivity analysis, mandated by existing guidelines as a good practice to use in conjunction to ma...
Practices for global sensitivity analysis of model output are described in a recent textbook (Saltel...
International audienceSensitivity analysis (SA) is en route to becoming an integral part of mathemat...
Sensitivity analysis provides information on the relative importance of model input parameters and a...
Sensitivity analysis assesses the influence of input parameters on the conclusion of a model. Tradit...