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Etienn de Rocquigny - Uncertainty in Industrial Practice - 9780470994474 - V9780470994474
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Uncertainty in Industrial Practice

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Description for Uncertainty in Industrial Practice Hardcover. There is a growing demand from institutional bodies for the justification of industrial methodologies and practices (e.g. safety criteria, environmental protection and control, maintenance and design optimization). Previous books in this area have either been too theoretical, or too specific in their scope. Editor(s): Rocquigny, Etienne de; Devictor, Nicolas; Tarantola, Stefano. Num Pages: 364 pages, Illustrations. BIC Classification: KJM. Category: (P) Professional & Vocational. Dimension: 235 x 160 x 25. Weight in Grams: 660.
Managing uncertainties in industrial systems is a daily challenge to ensure improved design, robust operation, accountable performance and responsive risk control. Authored by a leading European network of experts representing a cross section of industries, Uncertainty in Industrial Practice aims to provide a reference for the dissemination of uncertainty treatment in any type of industry. It is concerned with the quantification of uncertainties in the presence of data, model(s) and knowledge about the system, and offers a technical contribution to decision-making processes whilst acknowledging industrial constraints. The approach presented can be applied to a range of different business contexts, from ... Read more

Product Details

Format
Hardback
Publication date
2008
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
364
Condition
New
Number of Pages
364
Place of Publication
New York, United States
ISBN
9780470994474
SKU
V9780470994474
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Etienn de Rocquigny
Editors: Etienne de Rocquigny, Electricite de France, R&D (Senior Research Fellow). Nicolas Devictor, Commissariat a l'Energie Atomique. Stefano Tarantola, J.R.C. Ispra. Authors: The 10 members of the Uncertainty Project Group, part of ESReDA: European Safety, Reliability and Data Association.

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