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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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Библиографические подробности
Другие авторы:	Aslett, Louis J. M. (Редактор), Coolen, Frank P. A. (Редактор), De Bock, Jasper (Редактор)
Формат:	Электронный ресурс Глава книги
Язык:	английский
Опубликовано:	Bern Springer Nature 2022
Серии:	SpringerBriefs in Statistics
Предметы:	Probability & statistics Reliability engineering Bayesian inference Uncertainty quantification Engineering applications Imprecise Probabilities Bayesian Statistics Markov Chains Reliability Complex systems Inconsistent information Model validation Experimental measurements Open Access
Online-ссылка:	DOAB: download the publication DOAB: description of the publication
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