Tarantola Stefano (38 results)

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Hardcover. Condition: Very Good. 1st Edition. Hardcover, NOT ex-library. Owner's name on the front endpaper covered with a partially removed blank sticker. Else clean and bright with unmarked text and firm binding, free of stamps. Issued without a dust jacket.

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Hardback. Condition: New. 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.…

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Condition: New. 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. . 2008. Hardcover. . . . .…

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Hardcover. Condition: Brand New. 1st edition. 216 pages. 9.00x6.00x0.75 inches. In Stock.

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Condition: New. 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. . 2008. Hardcover. . . . . Books ship from the US and Ireland.…

Hardback. Condition: New. 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.…

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Gebunden. Condition: New. 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..

Buch. Condition: Neu. Neuware - 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 research or early design through to certification or in-service processes. The authors aim to foster optimal trade-offs between literature-referenced methodologies and the simplified approaches often inevitable in practice, owing to data, time or budget limitations of technical decision-makers.Uncertainty in Industrial Practice:\* Features recent uncertainty case studies carried out in the nuclear, air & space, oil, mechanical and civil engineering industries set in a common methodological framework.\* Presents methods for organizing and treating uncertainties in a generic and prioritized perspective.\* Illustrates practical difficulties and solutions encountered according to the level of complexity, information available and regulatory and financial constraints.\* Discusses best practice in uncertainty modeling, propagation and sensitivity analysis through a variety of statistical and numerical methods.\* Reviews recent standards, references and available software, providing an essential resource for engineers and risk analysts in a wide variety of industries.This book provides a guide to dealing with quantitative uncertainty in engineering and modelling and is aimed at practitioners, including risk-industry regulators and academics wishing to develop industry-realistic methodologies. …