Tarantola Stefano (39 results)

Condition: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

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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. pp. x + 292 Illus.

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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. . . . .…

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

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Condition: New. pp. xi + 219.

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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