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Uncertainty Analysis with High Dimensional Dependence Modelling
Dorota Kurowicka
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Description for Uncertainty Analysis with High Dimensional Dependence Modelling
Hardcover. Mathematical models are used to simulate complex real-world phenomena in many areas of science and technology. Large complex models typically require inputs whose values are not known with certainty. Series: Wiley Series in Probability and Statistics. Num Pages: 302 pages, Illustrations (some col.). BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 233 x 180 x 22. Weight in Grams: 568.
Mathematical models are used to simulate complex real-world phenomena in many areas of science and technology. Large complex models typically require inputs whose values are not known with certainty. Uncertainty analysis aims to quantify the overall uncertainty within a model, in order to support problem owners in model-based decision-making. In recent years there has been an explosion of interest in uncertainty analysis. Uncertainty and dependence elicitation, dependence modelling, model inference, efficient sampling, screening and sensitivity analysis, and probabilistic inversion are among the active research areas. This text provides both the mathematical foundations and practical applications in this rapidly expanding area, ... Read more
Mathematical models are used to simulate complex real-world phenomena in many areas of science and technology. Large complex models typically require inputs whose values are not known with certainty. Uncertainty analysis aims to quantify the overall uncertainty within a model, in order to support problem owners in model-based decision-making. In recent years there has been an explosion of interest in uncertainty analysis. Uncertainty and dependence elicitation, dependence modelling, model inference, efficient sampling, screening and sensitivity analysis, and probabilistic inversion are among the active research areas. This text provides both the mathematical foundations and practical applications in this rapidly expanding area, ... Read more
Product Details
Format
Hardback
Publication date
2006
Publisher
John Wiley & Sons Inc United Kingdom
Number of pages
302
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
320
Place of Publication
New York, United States
ISBN
9780470863060
SKU
V9780470863060
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Dorota Kurowicka
Dorota Kurowicka and Roger M. Cooke are the authors of Uncertainty Analysis with High Dimensional Dependence Modelling, published by Wiley.
Reviews for Uncertainty Analysis with High Dimensional Dependence Modelling
"…an invaluable reference for researchers, practitioners and graduate students in several areas of statistics, engineering and technology." (Mathematical Reviews, 2007b) "...whether one is a researcher, student, or an industrial practitioner dealing with computer models the book comes highly recommended." (Technometrics, February 2007)