Sensitivity Analysis in Practice (PDF)
A Guide to Assessing Scientific Models
(Sprache: Englisch)
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...
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...
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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-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. It is focussed on the use of SIMLAB - a widely
distributed freely-available sensitivity analysis software package
developed by the authors - for solving problems in
sensitivity analysis of statistical models.
Other key features:
* Provides an accessible overview of the current most widely used
methods for sensitivity analysis.
* Opens with a detailed worked example to explain the motivation
behind the book.
* Includes a range of examples to help illustrate the concepts
discussed.
* Focuses on implementation of the methods in the software SIMLAB
- a freely-available sensitivity analysis software package
developed by the authors.
* Contains a large number of references to sources for further
reading.
* Authored by the leading authorities on sensitivity
analysis.
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. It is focussed on the use of SIMLAB - a widely
distributed freely-available sensitivity analysis software package
developed by the authors - for solving problems in
sensitivity analysis of statistical models.
Other key features:
* Provides an accessible overview of the current most widely used
methods for sensitivity analysis.
* Opens with a detailed worked example to explain the motivation
behind the book.
* Includes a range of examples to help illustrate the concepts
discussed.
* Focuses on implementation of the methods in the software SIMLAB
- a freely-available sensitivity analysis software package
developed by the authors.
* Contains a large number of references to sources for further
reading.
* Authored by the leading authorities on sensitivity
analysis.
Autoren-Porträt von Andrea Saltelli, Stefano Tarantola, Francesca Campolongo, Marco Ratto
Andrea Saltelli, Joint Research Centre of the European Commission, Ispra, Unit of Applied Statistics and Econometrics. Presently leading the Econometric and Applied Statistics Unit of the Joint Research Centre, lead author Professor Saltelli has published many articles in numerous journals over the last 30 years. He is also the main author and main editor of two previous books (both for Wiley).
Bibliographische Angaben
- Autoren: Andrea Saltelli , Stefano Tarantola , Francesca Campolongo , Marco Ratto
- 2004, 1. Auflage, 232 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 047087094X
- ISBN-13: 9780470870945
- Erscheinungsdatum: 03.06.2004
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
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