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Wiley Uncertainty Analysis with High Dimensional Dependence Modelling

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Description

Uncertainty Analysis with High Dimensional Dependence Modelling by Wiley provides a comprehensive guide to quantifying uncertainty within mathematical models used across science and technology. This reference explores how to handle inputs whose values carry inherent uncertainty, supporting more robust model-based decision-making. The book covers dependence elicitation, dependence modelling, model inference, efficient sampling, screening and sensitivity analysis, and probabilistic inversion techniques. Designed for engineers, scientists, and analysts working with complex computational models, this resource addresses the growing demand for rigorous uncertainty quantification methods in fields ranging from environmental science to industrial engineering.

Key Features

Addresses uncertainty quantification in complex mathematical models used across science and engineering disciplines.

Covers dependence elicitation and high dimensional dependence modelling approaches for realistic uncertainty assessment.

Explores model inference, efficient sampling, and screening techniques to support practical uncertainty analysis workflows.

Includes sensitivity analysis and probabilistic inversion methods for comprehensive model evaluation.

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
24 February 2006
Listed Since
13 December 2006

Barcode

No barcode data available

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