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Uncertainty in engineering = introdu...

Aslett, Louis J. M.

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Uncertainty in engineering = introduction to methods and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Uncertainty in engineering/ edited by Louis J. M. Aslett, Frank P. A. Coolen, Jasper De Bock.
Reminder of title:	introduction to methods and applications /
other author:	Aslett, Louis J. M.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	vii, 147 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Engineering - Statistical methods. -
Online resource:	https://doi.org/10.1007/978-3-030-83640-5
ISBN:	9783030836405

Uncertainty in engineering = introduction to methods and applications /
Uncertainty in engineeringintroduction to methods and applications /[electronic resource] :edited by Louis J. M. Aslett, Frank P. A. Coolen, Jasper De Bock. - Cham :Springer International Publishing :2022. - vii, 147 p. :ill., digital ;24 cm. - SpringerBriefs in statistics,2191-5458. - SpringerBriefs in statistics..

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.

Open access.

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.

ISBN: 9783030836405

Standard No.: 10.1007/978-3-030-83640-5doiSubjects--Topical Terms:

646559
Engineering
--Statistical methods.

LC Class. No.: TA340 / .U53 2022

Dewey Class. No.: 519.5

Uncertainty in engineering = introduction to methods and applications /
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245 0 0 $a Uncertainty in engineering $h [electronic resource] : $b introduction to methods and applications / $c edited by Louis J. M. Aslett, Frank P. A. Coolen, Jasper De Bock.
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300 $a vii, 147 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in statistics, $x 2191-5458
505 0 $a 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.
506 $a Open access.
520 $a 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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700 1 $a Aslett, Louis J. M. $3 3593332
700 1 $a Coolen, Frank P. A. $3 3593333
700 1 $a De Bock, Jasper. $3 3593334
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