LEADER 05100nam 2200673 450 001 9910815465303321 005 20220307121427.0 010 $a0-08-100111-8 010 $a0-08-100091-X 035 $a(CKB)3710000000511932 035 $a(EBL)4095868 035 $a(SSID)ssj0001587209 035 $a(PQKBManifestationID)16270517 035 $a(PQKBTitleCode)TC0001587209 035 $a(PQKBWorkID)14869463 035 $a(PQKB)11533474 035 $a(Au-PeEL)EBL4095868 035 $a(CaPaEBR)ebr11121102 035 $a(CaONFJC)MIL869839 035 $a(OCoLC)935247377 035 $a(MiAaPQ)EBC4095868 035 $a(EXLCZ)993710000000511932 100 $a20150528h20162016 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEstimation of rare event probabilities in complex aerospace and other systems $ea practical approach /$fJe?ro?me Morio and Mathieu Balesdent 205 $aFirst edition. 210 1$aWaltham, MA :$cElsevier,$d[2016] 210 4$d©2016 215 $a1 online resource (217 p.) 225 1 $aWoodhead Publishing in mechanical engineering ;$vnumber 720 300 $aDescription based upon print version of record. 327 $aFront Cover; Estimation of Rare Event Probabilities in Complex Aerospace and Other Systems: A Practical Approach; Copyright; Dedication; Contents; Preface; Foreword; Biography of the external contributors to this book; Abbreviations; Chapter 1: Introduction to rare event probability estimation; 1.1 The book purposes; 1.2 What are the events of interest considered in this book?; 1.3 The book organization; References; Part One: Essential Background in Mathematics and System Analysis; Chapter 2: Basics of probability and statistics; 2.1 Probability theory operators; 2.1.1 Elements of vocabulary 327 $a2.1.2 Notion of dependence of random events andconditional probabilities 2.1.3 Continuous random variables; 2.1.3.1 Definitions; 2.1.3.2 Parameters of continuous random variables; 2.1.4 Continuous multivariate random variables; 2.1.4.1 Definitions and theorems; 2.1.4.2 Dependence of multivariate random variables ; 2.1.5 Point estimation ; 2.2 Random variable modeling; 2.2.1 Overview of common probability distributions; 2.2.1.1 Univariate distributions; Uniform distribution; Exponential distribution; Gaussian distribution; Truncated Gaussian distribution; Log-normal distribution 327 $aCauchy distributionChi-squared distribution; Gamma and beta distributions; Laplace distribution; Some properties of univariate distributions; 2.2.1.2 Multivariate distributions; Multivariate normal distribution; 2.2.2 Kernel-based laws; 2.3 Convergence theorems and sampling algorithms; 2.3.1 Strong law of large numbers ; 2.3.2 Central limit theorem ; 2.3.3 Simulation of complex laws using the Metropolis-Hastings algorithm; 2.3.3.1 Markov chain; 2.3.3.2 Some properties of transition kernels; 2.3.3.3 The Metropolis-Hastings algorithm ; 2.3.3.4 Transformation of random variables; References 327 $aChapter 3: The formalism of rare event probability estimation in complex systems3.1 Input-output system; 3.1.1 Description; 3.1.2 Formalism; 3.2 Time-variant system; 3.2.1 Description; 3.2.2 Formalism; 3.3 Characterization of a probability estimation; References; Part Two: Practical Overview of the Main Rare Event EstimationTechniques; Chapter 4: Introduction; 4.1 Categories of estimation methods; 4.2 General notations; 4.3 Description of the toy cases; 4.3.1 Identity function; 4.3.2 Polynomial square root function; 4.3.3 Four-branch system; 4.3.4 Polynomial product function; References 327 $aChapter 5: Simulation techniques5.1 Crude Monte Carlo; 5.1.1 Principle; 5.1.2 Application on a toy case; Four-branch system; 5.1.3 Conclusion; 5.2 Simple variance reduction techniques; 5.2.1 Quasi-Monte Carlo; 5.2.2 Conditional Monte Carlo; 5.2.2.1 Principle; 5.2.2.2 Conclusion; 5.2.3 Control variates; 5.2.3.1 Principle; 5.2.3.2 Application on a toy case; Four-branch system; 5.2.3.3 Conclusion; 5.2.4 Antithetic variates; 5.2.4.1 Principle; 5.2.4.2 Application to a toy case; Identity function; 5.2.4.3 Conclusion; 5.3 Importance sampling; 5.3.1 Principle of importance sampling 327 $a5.3.2 Nonadaptive importance sampling 410 0$aWoodhead Publishing in mechanical engineering ;$vno. 720. 606 $aProbabilities 606 $aIndustrial engineering$xStatistical methods 606 $aProbabilitats$2lemac 606 $aEnginyeria industrial$xMètodes estadístics$2lemac 615 0$aProbabilities. 615 0$aIndustrial engineering$xStatistical methods. 615 7$aProbabilitats 615 7$aEnginyeria industrial$xMètodes estadístics. 700 $aMorio$b Je?ro?me$0915889 702 $aBalesdent$b Mathieu 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910815465303321 996 $aEstimation of rare event probabilities in complex aerospace and other systems$94114469 997 $aUNINA