A parametric sensitivity analysis was conducted on a well known model for the production of a key sulphur bearing compound from algal biota. The model is of interest because of the climatic relevance of the gas (dimethylsulphide, DMS), an initiator of cloud particles. A screening test at low sample size is applied first (Morris method) followed by a computationally intensive variance based measure. Standardised regression coefficients are also computed. The various SA measures are compared with each other, and the use of bootstrap is suggested to extract empirical confidence bounds on the SA estimators.JRC.(EI)-Environment Institut
This document is a review of sensitivity analysis methods. It aims to contribute to the general unde...
Existing guidelines for impact assessment recommend that mathematical modelling of real or man-made ...
This work illustrates available best practices to run a sensitivity analysis for ecological models. ...
AbstractSensitivity Analysis (SA) investigates how the variation in the output of a numerical model ...
Sensitivity Analysis (SA) investigates how the variation in the output of a numerical model can be a...
Sensitivity Analysis (SA) investigates how the variation in the output of a numerical model can be a...
In 1991 Morris proposed an effective screening sensitivity measure to identify the few important fac...
Sensitivity Analysis (SA) investigates how the variation in the output of a numerical model can be a...
Sensitivity analysis (SA) is a valuable tool to support the use of mathematical models for environme...
Chemists routinely create models of reaction systems to understand reaction mechanisms, kinetic prop...
Statistical sensitivity analysis is shown to be a useful technique for assessing both multivariate e...
Mathematical models are utilized to approximate various highly complex engineering, physical, enviro...
Some recent articles, all in volume 102 of JGR, Atmosphere, use sensitivity analysis (SA) for mechan...
Sensitivity analysis (SA) as a ‘formal’ and ‘standard’ component of scientific development and polic...
As computing power increases and data relating to elementary chemical and physical processes improve...
This document is a review of sensitivity analysis methods. It aims to contribute to the general unde...
Existing guidelines for impact assessment recommend that mathematical modelling of real or man-made ...
This work illustrates available best practices to run a sensitivity analysis for ecological models. ...
AbstractSensitivity Analysis (SA) investigates how the variation in the output of a numerical model ...
Sensitivity Analysis (SA) investigates how the variation in the output of a numerical model can be a...
Sensitivity Analysis (SA) investigates how the variation in the output of a numerical model can be a...
In 1991 Morris proposed an effective screening sensitivity measure to identify the few important fac...
Sensitivity Analysis (SA) investigates how the variation in the output of a numerical model can be a...
Sensitivity analysis (SA) is a valuable tool to support the use of mathematical models for environme...
Chemists routinely create models of reaction systems to understand reaction mechanisms, kinetic prop...
Statistical sensitivity analysis is shown to be a useful technique for assessing both multivariate e...
Mathematical models are utilized to approximate various highly complex engineering, physical, enviro...
Some recent articles, all in volume 102 of JGR, Atmosphere, use sensitivity analysis (SA) for mechan...
Sensitivity analysis (SA) as a ‘formal’ and ‘standard’ component of scientific development and polic...
As computing power increases and data relating to elementary chemical and physical processes improve...
This document is a review of sensitivity analysis methods. It aims to contribute to the general unde...
Existing guidelines for impact assessment recommend that mathematical modelling of real or man-made ...
This work illustrates available best practices to run a sensitivity analysis for ecological models. ...