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Sensitivity analysis in practice : a guide to assessing scientific models

Author: A Saltelli
Publisher: Chichester ; Hoboken, N.J. : Wiley, ©2004.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
Sensitivity analysis should be considered a pre-requisite for statistical model building in any scientific discipline where modelling takes place. For a non-expert, choosing the method of analysis for their model is complex, and depends on a number of factors. This℗¡ book guides the non-expert through their problem in order to enable them to choose and apply the most appropriate method. It offers a review of the  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Sensitivity analysis in practice.
Chichester ; Hoboken, NJ : Wiley, ©2004
(DLC) 2003021209
(OCoLC)53138568
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: A Saltelli
ISBN: 047087094X 9780470870945 128053978X 9781280539787
OCLC Number: 55748013
Description: 1 online resource (xi, 219 pages) : illustrations
Contents: A Worked Example --
Global Sensitivity Analysis for Importance Assessment --
Test Cases --
The Screening Exercise --
Methods Based on Decomposing the Variance of the Output --
Sensitivity Analysis in Diagnostic Modelling: Monte Carlo Filtering and Regionalised Sensitivity Analysis, Bayesian Uncertainty Estimation and Global Sensitivity Analysis --
How to use SIMLAB --
Famous Quotes: Sensitivity Analysis in the Scientific Discourse.
Responsibility: Andrea Saltelli [and others].

Abstract:

Sensitivity analysis should be considered a pre-requisite for statistical model building in any scientific discipline where modelling takes place. For a non-expert, choosing the method of analysis for their model is complex, and depends on a number of factors. This℗¡ book guides the non-expert through their problem in order to enable them to choose and apply the most appropriate method. It offers a review of the state-of-the-art in sensitivity analysis, and is suitable for a wide range of practitioners.

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