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Kurowicka, Dorota, 1967-

Uncertainty analysis with high dimensional dependence modelling / Dorota Kurowicka and Roger Cooke. - 1 online resource (viii, 284 pages) : illustrations (some color). - Wiley series in probability and statistics . - Wiley series in probability and statistics. .

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

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.

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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.


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


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

ISBN: 0470863080 9780470863084 0470863072 9780470863077

Standard No.: 10.1002/0470863072 doi

Subjects--Topical Terms:
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 Analyse.

Index Terms--Genre/Form:
Electronic books.

LC Class. No.: Q375 / .K87 2006

Dewey Class. No.: 003/.54