Sensitivity Analysis in Practice A Guide to Assessing Scientific Models
79,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
16.07.2004
Verlag
WileySeitenzahl
232 (Printausgabe)
Dateigröße
2270 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9780470870945
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.
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