9780471998921 - Sensitivity Analysis: Gauging the Worth of Scientific Models (24 risultati)

Hardcover. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

25 cm. original hardcover. 476 pp. diagrams. references. index. "Wiley Series in probability and statistics". -(very) good. 985g.

Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1200grams, ISBN:9780471998921.

Condizione: New.

hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: new.

Condizione: New.

Condizione: New. In.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New. pp. xv + 475 Illus.

Condizione: New. 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. Editor(s): Saltelli, A.; Chan, K.; Scott, E. M. Series: Wiley Series in Probability and Statistics. Num Pages: 504 pages, Illustrations. BIC Classification: PBT; PBWH; PDE; TBJ. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 254 x 178 x 34. Weight in Grams: 1042. . 2000. 1st Edition. Hardcover. . . . .

Condizione: New. pp. xv + 475 1st Edition.

Gebunden. Condizione: New. The book has a fair price.I think this is a book that everyone who does modeling should buy. It can readily be read piecemeal.so it is ideal for leisurely self-study. (Technometrics Vol. 42, No. 4 May 2001) .this book will prove helpful in the sol.

Hardcover. Condizione: Brand New. 1st edition. 475 pages. 9.75x6.75x1.00 inches. In Stock.

Condizione: New. 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. Editor(s): Saltelli, A.; Chan, K.; Scott, E. M. Series: Wiley Series in Probability and Statistics. Num Pages: 504 pages, Illustrations. BIC Classification: PBT; PBWH; PDE; TBJ. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 254 x 178 x 34. Weight in Grams: 1042. . 2000. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Buch. Condizione: Neu. Neuware - Mit Hilfe einer Sensitivitätsanalyse kann man feststellen, wie ein gegebenes Modell von den Eingabeparametern abhängt und unter welchen Umständen es instabil werden könnte. Die gute Modellierungspraxis kommt ohne solche Betrachtungen zukünftig nicht mehr aus! Ausgehend von einer Erläuterung der Grundprinzipien hilft Ihnen dieses Buch, eine Lösung für Ihre Modellierungsprobleme zu finden. Die Auswirkungen von Unsicherheiten oder Annahmen werden dabei besser durchschaubar.

Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condizione: Good. Condizione sovraccoperta: No Dustjacket. First Edition. ISBN 0471998923. Hardback. No dustjacket. Bound in Pictorial Boards. Some minor small check marks and underlining to the interior text, Otherwise book is a Tight sound unmarked copy in Very Good to Near Fine condition. This book is Sensitivity Analysis 1st Edition. No Signature.

Hardcover. Condizione: new. Hardcover. Sensitivity analysis is used to ascertain how a given model output depends upon the input parameters. This is an important method for checking the quality of a given model, as well as a powerful tool for checking the robustness and reliability of its analysis. The topic is acknowledged as essential for good modelling practice, and is an implicit part of any modelling field. Offers an accessible introduction to sensitivity analysis Covers all the latest research Illustrates concepts with numerous examples, applications and case studies Includes contributions form the leading researchers active in developing strategies for sensitivity analysis The principles of sensitivity analysis area carefully described, and suitable methods for approaching many types of problems are given. The book introduces the modeller to the entire causal assessment chain, from data to predictions, whilst explaining the impact of source uncertainties and framing assumptions. A 'hitch-hiker's guide' is included to allow the more experienced reader to readily access specific applications. Modellers from a wide range of disciplines, including biostatistics, economics, environmental impact assessment, chemistry and engineering will benefit greatly form the numerous examples and applications. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condizione: new. Hardcover. Sensitivity analysis is used to ascertain how a given model output depends upon the input parameters. This is an important method for checking the quality of a given model, as well as a powerful tool for checking the robustness and reliability of its analysis. The topic is acknowledged as essential for good modelling practice, and is an implicit part of any modelling field. Offers an accessible introduction to sensitivity analysis Covers all the latest research Illustrates concepts with numerous examples, applications and case studies Includes contributions form the leading researchers active in developing strategies for sensitivity analysis The principles of sensitivity analysis area carefully described, and suitable methods for approaching many types of problems are given. The book introduces the modeller to the entire causal assessment chain, from data to predictions, whilst explaining the impact of source uncertainties and framing assumptions. A 'hitch-hiker's guide' is included to allow the more experienced reader to readily access specific applications. Modellers from a wide range of disciplines, including biostatistics, economics, environmental impact assessment, chemistry and engineering will benefit greatly form the numerous examples and applications. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condizione: Brand New. 1st edition. 475 pages. 9.75x6.75x1.00 inches. In Stock. This item is printed on demand.

Hardcover. Condizione: new. Hardcover. Sensitivity analysis is used to ascertain how a given model output depends upon the input parameters. This is an important method for checking the quality of a given model, as well as a powerful tool for checking the robustness and reliability of its analysis. The topic is acknowledged as essential for good modelling practice, and is an implicit part of any modelling field. Offers an accessible introduction to sensitivity analysis Covers all the latest research Illustrates concepts with numerous examples, applications and case studies Includes contributions form the leading researchers active in developing strategies for sensitivity analysis The principles of sensitivity analysis area carefully described, and suitable methods for approaching many types of problems are given. The book introduces the modeller to the entire causal assessment chain, from data to predictions, whilst explaining the impact of source uncertainties and framing assumptions. A 'hitch-hiker's guide' is included to allow the more experienced reader to readily access specific applications. Modellers from a wide range of disciplines, including biostatistics, economics, environmental impact assessment, chemistry and engineering will benefit greatly form the numerous examples and applications. 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.