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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ReiheSpringerBriefs in Statistics
ISBN 9783030836399
Sprache Englisch
Ausgabe 1st ed. 2022
Erscheinungsdatum 10.12.2021
Umfang 147 Seiten
Genre Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik
Format Taschenbuch
Verlag Springer International Publishing
Herausgegeben von Louis J. M. Aslett, Frank P. A. Coolen, Jasper De Bock
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