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Uncertainty in Engineering : Introduction to Methods and Applications

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This open access book provides an introduction to uncertainty quantification in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo methods, followed by material on imprecise probabilities, it then focuses on reliability theory and simulation methods for complex systems. The final two chapters discuss various aspects of aerospace engineering, considering stochastic model updating from an imprecise Bayesian perspective, and uncertainty quantification for aerospace flight modelling.

Written by experts in the subject, and based on lectures given at the Second Training School of the European Research and Training Network UTOPIAE (Uncertainty Treatment and Optimization in Aerospace Engineering), which took place at Durham University (United Kingdom) from 2 to 6 July 2018, the book offers an essential resource for students as well as scientists and practitioners.

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Availability

Detail Information

Series Title

SpringerBriefs in Statistics (BRIEFSSTATIST)

Call Number

510 UNC

Publisher

Cham : Springer Cham., 2021

Collation

VII, 147

Language

English

ISBN/ISSN

978-3-030-83640-5

Classification

510

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Statistical Theory and Methods

Specific Detail Info

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Statement of Responsibility

Penyunting, Louis J. M. Aslett, Frank P. A. Coolen, Jasper De Bock

Other Information

Cataloger

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Source

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Validator

Maya

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-3-030-83640-5

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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