02949nam 22006853 450 99646641630331620231110230531.03-030-83640-1(CKB)5590000000631161(MiAaPQ)EBC6824949(Au-PeEL)EBL6824949(OCoLC)1290485018(oapen)https://directory.doabooks.org/handle/20.500.12854/74880(PPN)259386650(EXLCZ)99559000000063116120220207d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierUncertainty in Engineering Introduction to Methods and ApplicationsBernSpringer Nature2022Cham :Springer International Publishing AG,2021.©2022.1 online resource (148 pages)SpringerBriefs in Statistics 3-030-83639-8 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.SpringerBriefs in Statistics EnginyeriathubEstadística matemàticathubProbabilitatsthubIncertesathubLlibres electrònicsthubUncertainty quantificationEngineering applicationsImprecise ProbabilitiesBayesian StatisticsMarkov ChainsReliabilityComplex systemsInconsistent informationModel validationExperimental measurementsOpen AccessEnginyeriaEstadística matemàticaProbabilitatsIncertesaAslett Louis J. M1075841Coolen Frank P. A1075842De Bock Jasper1075843MiAaPQMiAaPQMiAaPQBOOK996466416303316Uncertainty in Engineering2585666UNISA