Uncertainty in Engineering : : Introduction to Methods and Applications.

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. T...

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Superior document:SpringerBriefs in Statistics
:
Aslett, Louis J. M.
TeilnehmendeR:
Coolen, Frank P. A.
De Bock, Jasper.
Place / Publishing House:Cham : : Springer International Publishing AG,, 2021.
©2022.
Year of Publication:2022
2021
Language:English
Series:SpringerBriefs in Statistics
Physical Description:1 online resource (148 pages)
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(PPN)259386650
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spelling Aslett, Louis J. M.
Uncertainty in Engineering : Introduction to Methods and Applications.
Bern Springer Nature 2022
Cham : Springer International Publishing AG, 2021.
©2022.
1 online resource (148 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
SpringerBriefs in Statistics
Description based on publisher supplied metadata and other sources.
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.
English
H2020 LEIT Space
Enginyeria thub
Estadística matemàtica thub
Probabilitats thub
Incertesa thub
Llibres electrònics thub
Uncertainty quantification
Engineering applications
Imprecise Probabilities
Bayesian Statistics
Markov Chains
Reliability
Complex systems
Inconsistent information
Model validation
Experimental measurements
Open Access
3-030-83639-8
Coolen, Frank P. A.
De Bock, Jasper.
language English
format eBook
author Aslett, Louis J. M.
spellingShingle Aslett, Louis J. M.
Uncertainty in Engineering : Introduction to Methods and Applications.
SpringerBriefs in Statistics
author_facet Aslett, Louis J. M.
Coolen, Frank P. A.
De Bock, Jasper.
author_variant l j m a ljm ljma
author2 Coolen, Frank P. A.
De Bock, Jasper.
author2_variant f p a c fpa fpac
b j d bj bjd
author2_role TeilnehmendeR
TeilnehmendeR
author_sort Aslett, Louis J. M.
title Uncertainty in Engineering : Introduction to Methods and Applications.
title_sub Introduction to Methods and Applications.
title_full Uncertainty in Engineering : Introduction to Methods and Applications.
title_fullStr Uncertainty in Engineering : Introduction to Methods and Applications.
title_full_unstemmed Uncertainty in Engineering : Introduction to Methods and Applications.
title_auth Uncertainty in Engineering : Introduction to Methods and Applications.
title_new Uncertainty in Engineering :
title_sort uncertainty in engineering : introduction to methods and applications.
series SpringerBriefs in Statistics
series2 SpringerBriefs in Statistics
publisher Springer Nature
Springer International Publishing AG,
publishDate 2022
2021
physical 1 online resource (148 pages)
isbn 3-030-83640-1
3-030-83639-8
callnumber-first Q - Science
callnumber-subject QA - Mathematics
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genre_facet Llibres electrònics
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