001431230 000__ 03515cam\a2200589\i\4500
001431230 001__ 1431230
001431230 003__ OCoLC
001431230 005__ 20230308003226.0
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001431230 020__ $$a9783030836405$$q(electronic bk.)
001431230 020__ $$a3030836401$$q(electronic bk.)
001431230 020__ $$z9783030836399
001431230 0247_ $$a10.1007/978-3-030-83640-5$$2doi
001431230 035__ $$aSP(OCoLC)1289370872
001431230 040__ $$aEBLCP$$beng$$erda$$epn$$cEBLCP$$dGW5XE$$dYDX$$dOCLCF$$dOCLCO$$dOCLCQ$$dOCLCO$$dOCLCQ$$dYWS
001431230 049__ $$aISEA
001431230 050_4 $$aTA340$$b.U53 2022
001431230 08204 $$a519.5$$223
001431230 24500 $$aUncertainty in engineering :$$bintroduction to methods and applications /$$cLouis J.M. Aslett, Frank P.A. Coolen, Jasper De Bock, editors.
001431230 264_1 $$aCham :$$bSpringer,$$c[2022]
001431230 264_4 $$c©2022
001431230 300__ $$a1 online resource (148 pages) :$$billustrations (chiefly color)
001431230 336__ $$atext$$btxt$$2rdacontent
001431230 337__ $$acomputer$$bc$$2rdamedia
001431230 338__ $$aonline resource$$bcr$$2rdacarrier
001431230 4901_ $$aSpringerBriefs in statistics
001431230 504__ $$aIncludes bibliographical references.
001431230 5050_ $$aIntroduction to Bayesian statistical inference -- Sampling from complex probability distributions: a Monte Carlo primer for engineers -- Introduction to the theory of imprecise probability -- Imprecise discrete-time Markov chains -- Statistics with imprecise probabilities-a short survey -- Reliability -- Simulation methods for the analysis of complex systems -- Overview of stochastic model updating in aerospace application under uncertainty treatment -- Aerospace flight modeling and experimental testing.
001431230 5060_ $$aOpen access$$5GW5XE
001431230 520__ $$aThis 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.
001431230 588__ $$aDescription based on print version record.
001431230 650_0 $$aEngineering$$xStatistical methods.
001431230 650_0 $$aProbabilities.
001431230 650_0 $$aUncertainty.
001431230 650_6 $$aIngénierie$$xMéthodes statistiques.
001431230 650_6 $$aProbabilités.
001431230 650_6 $$aIncertitude.
001431230 655_7 $$aLlibres electrònics.$$2thub
001431230 655_0 $$aElectronic books.
001431230 7001_ $$aAslett, Louis J. M.,$$eeditor.
001431230 7001_ $$aCoolen, Franciscus Petrus Antonius,$$d1965-$$eeditor.
001431230 7001_ $$aDe Bock, Jasper,$$eeditor.
001431230 77608 $$iPrint version:$$aAslett, Louis J.M.$$tUncertainty in Engineering.$$dCham : Springer International Publishing AG, ©2022$$z9783030836399
001431230 830_0 $$aSpringerBriefs in statistics.
001431230 852__ $$bebk
001431230 85640 $$3Springer Nature$$uhttps://link.springer.com/10.1007/978-3-030-83640-5$$zOnline Access$$91397441.2
001431230 909CO $$ooai:library.usi.edu:1431230$$pGLOBAL_SET
001431230 980__ $$aBIB
001431230 980__ $$aEBOOK
001431230 982__ $$aEbook
001431230 983__ $$aOnline
001431230 994__ $$a92$$bISE