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Global sensitivity analysis: The primer. (English) Zbl 1161.00304

Chichester: John Wiley & Sons (ISBN 978-0-470-05997-5/hbk). xi, 292 p. (2008).
Publisher’s description: 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 assumptions into inferences. A modeller makes assumptions about laws pertaining to the system, about its status and a plethora of other, often arcane, system variables and internal model settings. To what extent can we rely on the model-based inference when most of these assumptions are fraught with uncertainties? Global Sensitivity Analysis offers an accessible treatment of such problems via quantitative sensitivity analysis, beginning with the first principles and guiding the reader through the full range of recommended practices with a rich set of solved exercises. The text explains the motivation for sensitivity analysis, reviews the required statistical concepts, and provides a guide to potential applications.

MSC:

00A06 Mathematics for nonmathematicians (engineering, social sciences, etc.)
91-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to game theory, economics, and finance
65-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to numerical analysis
90-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to operations research and mathematical programming
00A71 General theory of mathematical modeling
91B38 Production theory, theory of the firm
90C31 Sensitivity, stability, parametric optimization
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