LEADER 01051nam--2200337---450 001 990000413700203316 005 20210712135828.0 010 $a0/521-38292-0 035 $a0041370 035 $aUSA010041370 035 $a(ALEPH)000041370USA01 035 $a0041370 100 $a20010423d1990----km-y0itay0103----ba 101 $aeng 102 $aGB 105 $a||||||||001yy 200 1 $aIdentity, competition, and electoral availability$ethe stabilisation of European electorates 1885-1985$fStefano Bartolini e Peter Mair 210 $aCambridge$cCambridge University Press$d1990 215 $aXIX, 363 p.$d24 cm 410 $12001 606 0 $aElezioni$yEuropa occidentale$xStoria$z1885-1985 676 $a324.63094 700 1$aBARTOLINI,$bStefano$080855 701 1$aMAIR,$bPeter$0263026 801 0$aIT$bsalbc$gISBD 912 $a990000413700203316 951 $aX.3.B. 2580 (IL i I 286)$b72452 EC$cIL i I 959 $aBK 969 $aECO 996 $aIdentity, competition, and electoral availability$9875132 997 $aUNISA LEADER 02949nam 22006853 450 001 996466416303316 005 20231110230531.0 010 $a3-030-83640-1 035 $a(CKB)5590000000631161 035 $a(MiAaPQ)EBC6824949 035 $a(Au-PeEL)EBL6824949 035 $a(OCoLC)1290485018 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/74880 035 $a(PPN)259386650 035 $a(EXLCZ)995590000000631161 100 $a20220207d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aUncertainty in Engineering $eIntroduction to Methods and Applications 210 $aBern$cSpringer Nature$d2022 210 1$aCham :$cSpringer International Publishing AG,$d2021. 210 4$d©2022. 215 $a1 online resource (148 pages) 225 1 $aSpringerBriefs in Statistics 311 $a3-030-83639-8 330 $aThis open access book provides an introduction to uncertainty quanti?cation in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo methods, followed by material on imprecise probabilities, it then focuses on reliability theory and simulation methods for complex systems. The ?nal two chapters discuss various aspects of aerospace engineering, considering stochastic model updating from an imprecise Bayesian perspective, and uncertainty quanti?cation for aerospace ?ight modelling. Written by experts in the subject, and based on lectures given at the Second Training School of the European Research and Training Network UTOPIAE (Uncertainty Treatment and Optimization in Aerospace Engineering), which took place at Durham University (United Kingdom) from 2 to 6 July 2018, the book offers an essential resource for students as well as scientists and practitioners. 410 0$aSpringerBriefs in Statistics 606 $aEnginyeria$2thub 606 $aEstadística matemàtica$2thub 606 $aProbabilitats$2thub 606 $aIncertesa$2thub 608 $aLlibres electrònics$2thub 610 $aUncertainty quantification 610 $aEngineering applications 610 $aImprecise Probabilities 610 $aBayesian Statistics 610 $aMarkov Chains 610 $aReliability 610 $aComplex systems 610 $aInconsistent information 610 $aModel validation 610 $aExperimental measurements 610 $aOpen Access 615 7$aEnginyeria 615 7$aEstadística matemàtica 615 7$aProbabilitats 615 7$aIncertesa 700 $aAslett$b Louis J. M$01075841 701 $aCoolen$b Frank P. A$01075842 701 $aDe Bock$b Jasper$01075843 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466416303316 996 $aUncertainty in Engineering$92585666 997 $aUNISA