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Uncertainty in Engineering: Introduction to Methods and Applications /

Uncertainty in Engineering: Introduction to Methods and Applications /
Catalogue Information
Field name Details
Dewey Class 519.5
Title Uncertainty in Engineering ( EBook) : Introduction to Methods and Applications / / edited by Louis J. M. Aslett, Frank P. A. Coolen, Jasper De Bock.
Added Personal Name Aslett, Louis J. M.
Coolen, Frank P. A.
De Bock, Jasper
Other name(s) SpringerLink (Online service)
Edition statement 1st ed. 2022.
Publication Cham : : Springer International Publishing : : Imprint: Springer, , 2022.
Physical Details VII, 147 p. 55 illus., 41 illus. in color. : online resource.
Series SpringerBriefs in Statistics 2191-5458
ISBN 9783030836405
Summary Note 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.:
Contents note Introduction to Bayesian statistical inference -- Sampling from complex probability distributions: a Monte Carlo primer for engineers -- Introduction to the theory of imprecise probability -- Imprecise discrete-time Markov chains -- Statistics with imprecise probabilities – a short survey -- Reliability -- Simulation methods for the analysis of complex systems -- Overview of stochastic model updating in aerospace application under uncertainty treatment -- Aerospace flight modeling and experimental testing.
Mode of acces to digital resource Digital reproduction.-
Cham :
Springer International Publishing,
2022. -
Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site https://doi.org/10.1007/978-3-030-83640-5
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