Add to ORKGA literature review of the use of sensitivity analyses in modelling nonlinear, ill-defined systems, such as ecological interactions is presented. Discussions of previous work, and a proposed scheme for generalized sensitivity analysis applicable to ill-defined systems are included. This scheme considers classes of mathematical models, problem-defining behavior, analysis procedures (especially the use of Monte-Carlo methods), sensitivity ranking of parameters, and extension to control system design
Computational ecology is an emerging interdisciplinary discipline founded mainly on modeling and sim...
This document is a review of sensitivity analysis methods. It aims to contribute to the general unde...
Mathematical models are utilized to approximate various highly complex engineering, physical, enviro...
The models developed by scientists are more and more complex. Indeed, these models are com- posed of...
Trying to cope with a growing human population and its demands on natural resources, we aim to manag...
Ecological models are subject to considerable uncertainty, which needs to be addressed explicitly. T...
This work illustrates available best practices to run a sensitivity analysis for ecological models. ...
In previous work by the authors about dynamic system modeling, basic ecosystems concepts and their a...
A survey of the literature of sensitivity analysis as it applies to biological systems is reported a...
<p>Simulation models are commonly used to understand and predict the development of ecological syste...
In view of increasing application of sensitivity assessment (SA) to environmental simulation models,...
When we construct mathematical models to represent a given real-world system, there is always a degr...
Simulation models are commonly used to understand and predict the development of ecological systems,...
This is the final version of the article. Available from the publisher via the DOI in this record.Se...
Abstract Sensitivity analysis is an essential paradigm in Earth and Environmental Systems modeling. ...
Computational ecology is an emerging interdisciplinary discipline founded mainly on modeling and sim...
This document is a review of sensitivity analysis methods. It aims to contribute to the general unde...
Mathematical models are utilized to approximate various highly complex engineering, physical, enviro...
The models developed by scientists are more and more complex. Indeed, these models are com- posed of...
Trying to cope with a growing human population and its demands on natural resources, we aim to manag...
Ecological models are subject to considerable uncertainty, which needs to be addressed explicitly. T...
This work illustrates available best practices to run a sensitivity analysis for ecological models. ...
In previous work by the authors about dynamic system modeling, basic ecosystems concepts and their a...
A survey of the literature of sensitivity analysis as it applies to biological systems is reported a...
<p>Simulation models are commonly used to understand and predict the development of ecological syste...
In view of increasing application of sensitivity assessment (SA) to environmental simulation models,...
When we construct mathematical models to represent a given real-world system, there is always a degr...
Simulation models are commonly used to understand and predict the development of ecological systems,...
This is the final version of the article. Available from the publisher via the DOI in this record.Se...
Abstract Sensitivity analysis is an essential paradigm in Earth and Environmental Systems modeling. ...
Computational ecology is an emerging interdisciplinary discipline founded mainly on modeling and sim...
This document is a review of sensitivity analysis methods. It aims to contribute to the general unde...
Mathematical models are utilized to approximate various highly complex engineering, physical, enviro...