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Item Details
| Title:
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MATHEMATICAL AND STATISTICAL METHODS FOR SENSITIVITY ANALYSIS
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| By: |
A. Saltelli (Editor), K. Chan (Editor), E. M. Scott (Editor) |
| Format: |
Hardback |
| List price:
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£147.95 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
0471998923 |
| ISBN 13: |
9780471998921 |
| Publisher: |
JOHN WILEY AND SONS LTD |
| Pub. date: |
11 August, 2000 |
| Series: |
Wiley Series in Probability and Statistics |
| Pages: |
504 |
| Description: |
This work is a guide to the principles behind sensitivity analysis. It suggests suitable methods for particular types of problem, which allows a greater understanding of the entire causal assessment chain. This makes the impact of source uncertainties and framing assumptions more transparent. |
| Synopsis: |
Sensitivity analysis, which ascertains how a given model depends upon its input parameters and determines the degree of stability of the model, is increasingly being considered as essential for good modelling practice. Written by leading researchers active in developing sensitivity analysis strategies for a variety of applications, this volume will prove helpful in the solution of many modelling problems. The book guides the reader through the principles behind sensitivity analysis and then suggests suitable methods for particular types of problem. This approach allows the analyst to come to terms with the entire causal assessment chain, from data to predictions, in a way that makes the impact of source uncertainties and framing assumptions more transparent. |
| Illustrations: |
Illustrations |
| Publication: |
UK |
| Imprint: |
John Wiley & Sons Ltd |
| Returns: |
Returnable |
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