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Uncertainty in engineeringintroduction to methods and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Uncertainty in engineeringedited by Louis J. M. Aslett, Frank P. A. Coolen, Jasper De Bock.
其他題名:	introduction to methods and applications /
其他作者:	Aslett, Louis J. M.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	vii, 147 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	EngineeringStatistical methods.
電子資源:	https://doi.org/10.1007/978-3-030-83640-5
ISBN:	9783030836405$q(electronic bk.)

Uncertainty in engineeringintroduction 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$q(electronic bk.)

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

181883
Engineering
--Statistical methods.

LC Class. No.: TA340 / .U53 2022

Dewey Class. No.: 519.5

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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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