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Uncertainty analysis with high dimensional dependence modelling / Dorota Kurowicka and Roger Cooke.

By: Kurowicka, Dorota, 1967-Contributor(s): Cooke, Roger, 1942-Material type: Text

TextSeries: Wiley series in probability and statisticsPublisher: Chichester, England ; Hoboken, NJ : Wiley, [2006]Copyright date: ©2006Description: 1 online resource (viii, 284 pages) : illustrations (some color)Content type: text Media type: computer Carrier type: online resourceISBN: 0470863080; 9780470863084; 0470863072; 9780470863077Subject(s): Uncertainty (Information theory) -- Mathematics | Uncertainty (Information theory) | Uncertainty (Information theory) -- Mathematics | Incertitude (Théorie de l'information) -- Mathématiques | COMPUTERS -- Information Theory | Wiskundige modellen | Onzekerheid | Assoziationsmaß | Entscheidung bei Unsicherheit | Multivariate AnalyseGenre/Form: Electronic books.Additional physical formats: Print version:: Uncertainty analysis with high dimensional dependence modelling.DDC classification: 003/.54 LOC classification: Q375 | .K87 2006Other classification: 31.70 | MAT 624f | MAT 627f | QH 170 | SK 840 Online resources: Wiley Online Library

Contents:

Assessing uncertainty on model input -- Bivariate dependence -- High-dimensional dependence modelling -- Other graphical models -- Sampling methods -- Visualization -- Probabilistic sensitivity measures -- Probabilistic inversion -- Uncertainty and the UN compensation commission.

Action note: digitized 2010 committed to preserveSummary: 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.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Ebooks	Mysore University Main Library		Not for loan		EBJW1486

Includes bibliographical references (pages 273-279) and index.

Print version record.

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.

Use copy Restrictions unspecified star MiAaHDL

Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2010. MiAaHDL

Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. MiAaHDL

http://purl.oclc.org/DLF/benchrepro0212

digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL

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