{"product_id":"sensitivity-analysis-isbn-9780471998921","title":"Sensitivity Analysis","description":"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.\u003cbr\u003e \u003cbr\u003e · Offers an accessible introduction to sensitivity analysis\u003cbr\u003e \u003cbr\u003e · Covers all the latest research\u003cbr\u003e \u003cbr\u003e · Illustrates concepts with numerous examples, applications and case studies\u003cbr\u003e \u003cbr\u003e · Includes contributions form the leading researchers active in developing strategies for sensitivity analysis\u003cbr\u003e \u003cbr\u003e 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.\u003cbr\u003e \u003cbr\u003e 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.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. What is Sensitivity Analysis.\u003cbr\u003e \u003cbr\u003e Hitchhiker's Guide to Sensitivity Analysis.\u003cbr\u003e \u003cbr\u003e METHODS.\u003cbr\u003e \u003cbr\u003e Designs of Experiments.\u003cbr\u003e \u003cbr\u003e Screening Methods.\u003cbr\u003e \u003cbr\u003e Local Methods.\u003cbr\u003e \u003cbr\u003e Sampling-Based Methods.\u003cbr\u003e \u003cbr\u003e Reliability Algorithms: FORM and SORM Methods.\u003cbr\u003e \u003cbr\u003e Variance-Based Methods.\u003cbr\u003e \u003cbr\u003e Managing the Tyranny of Parameters in Mathematical Modelling of Physical Systems.\u003cbr\u003e \u003cbr\u003e Bayesian Sensitivity Analysis.\u003cbr\u003e \u003cbr\u003e Graphical Methods.\u003cbr\u003e \u003cbr\u003e APPLICATIONS.\u003cbr\u003e \u003cbr\u003e Practical Experience in Applying Sensitivity and Uncertainty Analysis.\u003cbr\u003e \u003cbr\u003e Scenario and Parametric Sensitivity and Uncertainty Analysis in Nuclear Waste Disposal Risk Assessment: The Case of GESAMAC.\u003cbr\u003e \u003cbr\u003e Sensitivity Analysis for Signal Extraction in Economic Time Series.\u003cbr\u003e \u003cbr\u003e A Dataless Precalibration Analysis in Solid State Physics.\u003cbr\u003e \u003cbr\u003e Appplication of First-Order (FORM) and Second-Order (SORM) Reliability Methods: Analysis and Interpretation of Sensitivity Measures Related to Groundwater Pressure Decreases and Resulting Ground Subsidence.\u003cbr\u003e \u003cbr\u003e One-at-a-Time and Mini-Global Analyses for Characterizing Model Sensitivity in the Nonlinear Ozone Predictions from the US EPA Regional Acid Deposition Model (RADM).\u003cbr\u003e \u003cbr\u003e Comparing Different Sensitivity Analysis Methods on a Chemical Reactions Model.\u003cbr\u003e \u003cbr\u003e An Application of Sensitivity Analysis to Fish Population Dynamics.\u003cbr\u003e \u003cbr\u003e Global Sensitivity Analysis: A Quality Assurance Tool in Environmental Policy Modelling.\u003cbr\u003e \u003cbr\u003e CONCLUSIONS.\u003cbr\u003e \u003cbr\u003e Assuring the Quality of Models Designed for Predictive Tasks.\u003cbr\u003e \u003cbr\u003e Fortune and Future of Sensitivity Analysis.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e Appendix.\u003cbr\u003e \u003cbr\u003e Index. \"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)\u003cbr\u003e \"...this book will prove helpful in the solution of many modeling problems.\" (La Doc Sti, September 2000)\u003cbr\u003e \"...presents many different sensitivity analysis methodologies and demonstrates their usefulness in scientific research.\" (Zentralblatt MATH, Vol. 961, 2001\/11) \u003cp\u003eAndrea Saltelli, Joint Research Centre of the European Commission, Ispra, Unit of Applied Statistics and Econometrics. Presently leading the Econometric and Applied Statistics Unit of the Joint Research Centre, lead author Professor Saltelli has published many articles in numerous journals over the last 30 years. He is also the main author and main editor of two previous books (both for Wiley).\u003c\/p\u003e Sensitivity analysis is used to ascertain how a given model output depends upon the inupt 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.\u003cbr\u003e * Offers an accessible introduction to sensitivity analysis\u003cbr\u003e * Covers all the latest research\u003cbr\u003e * Illustrates concepts with numerous examples, applications and case studies\u003cbr\u003e * Includes contributions from the leading researchers active in developing strategies for sensitivity analysis\u003cbr\u003e \u003cbr\u003e The principles of sensitivity analysis are carefully described, and suitable methods for approaching many types of problems are given. The book introduces the modeller to the entire casual 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.\u003cbr\u003e \u003cbr\u003e Modellers from a wide range of disciplines, including biostatistics, economics, environmental impact assessment, chemistry and engineering will benefit greatly from the numerous examples and applications.","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47990007070949,"sku":"NP9780471998921","price":197.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780471998921.jpg?v=1761786195","url":"https:\/\/k12savings.com\/es\/products\/sensitivity-analysis-isbn-9780471998921","provider":"K12savings","version":"1.0","type":"link"}