Complex mathematical and computational models are used in all areas of society and technology and yet model based science is increasingly contested or refuted, especially when models are applied to controversial themes in domains such as health, the environment or the economy. More stringent standards of proofs are demanded from model-based numbers, especially when these numbers represent potential financial losses, threats to human health or the state of the environment. Quantitative sensitivity analysis is generally agreed to be one such standard.
Mathematical models are good at mapping...
Complex mathematical and computational models are used in all areas of society and technology and yet model based science is increasingly contested or...
The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists.
Sensitivity analysis is used to ascertain how a given model output depends upon the input parameters. This is an important method for checking the quality of a given model, as well as a powerful tool for checking the robustness and reliability of its analysis. The topic is acknowledged as essential for good modelling practice and is an implicit part of any modelling field.
Offers an accessible introduction to sensitivity analysis.
...
The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists.
