Sensitivity Analysis

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Sensitivity Analysis

Sensitivity Analysis
Author :
Publisher : John Wiley & Sons
Total Pages : 515
Release :
ISBN-10 : 9780471998921
ISBN-13 : 0471998923
Rating : 4/5 (923 Downloads)

Book Synopsis Sensitivity Analysis by : Andrea Saltelli

Download or read book Sensitivity Analysis written by Andrea Saltelli and published by John Wiley & Sons. This book was released on 2000-10-03 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 · Covers all the latest research · Illustrates concepts with numerous examples, applications and case studies · Includes contributions form the leading researchers active in developing strategies for sensitivity analysis The principles of sensitivity analysis area carefully described, and suitable methods for approaching many types of problems are given. The book introduces the modeller to the entire causal assessment chain, from data to predictions, whilst explaining the impact of source uncertainties and framing assumptions. A 'hitch-hiker's guide' is included to allow the more experienced reader to readily access specific applications. Modellers from a wide range of disciplines, including biostatistics, economics, environmental impact assessment, chemistry and engineering will benefit greatly form the numerous examples and applications.


Sensitivity Analysis Related Books

Sensitivity Analysis
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Pages: 515
Authors: Andrea Saltelli
Categories: Mathematics
Type: BOOK - Published: 2000-10-03 - Publisher: John Wiley & Sons

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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
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Sensitivity analysis should be considered a pre-requisite for statistical model building in any scientific discipline where modelling takes place. For a non-exp
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This open access book shows how to use sensitivity analysis in demography. It presents new methods for individuals, cohorts, and populations, with applications