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151118s2016 ne ob 001 0 eng d |
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|a N$T
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|d CUY
|d ZCU
|d MERUC
|d ICG
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|a 930335556
|a 935247377
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|a 9780081001110
|q (electronic bk.)
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|a 0081001118
|q (electronic bk.)
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|z 9780081000915
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|z 008100091X
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|a (OCoLC)929851550
|z (OCoLC)930335556
|z (OCoLC)935247377
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|a TA340
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|a MAT
|x 003000
|2 bisacsh
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|a 519.2
|2 23
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|a Morio, J�er�ome,
|d 1983-
|e author.
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1 |
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|a Estimation of rare event probabilities in complex aerospace and other systems :
|b a practical approach /
|c J�er�ome Morio and Mathieu Balesdent.
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264 |
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1 |
|a Amsterdam :
|b Woodhead Publishing is an imprint of Elsevier,
|c [2016]
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264 |
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|c �2016
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300 |
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|a 1 online resource
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Woodhead publishing in mechanical engineering ;
|v number 720
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|a Online resource; title from PDF title page (EBSCO, viewed November 25, 2015)
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|a Includes bibliographical references and index.
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|a Front 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
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505 |
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|a 2.1.2 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
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505 |
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|a Cauchy 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
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|a Chapter 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
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|a Chapter 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
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|a Comprehensive and insightful, this valuable resource offers a broad up-to-date view of techniques to estimate rare event probabilities, described with a unified notation to ease implementation plus a spectrum of simulation results on academic and realistic use cases. --
|c Edited summary from book.
|
650 |
|
0 |
|a Engineering
|x Statistical methods.
|
650 |
|
0 |
|a Engineering mathematics.
|
650 |
|
0 |
|a Aerospace engineering.
|
650 |
|
0 |
|a Reliability (Engineering)
|
650 |
|
6 |
|a Ing�enierie
|x M�ethodes statistiques.
|0 (CaQQLa)201-0022660
|
650 |
|
6 |
|a Math�ematiques de l'ing�enieur.
|0 (CaQQLa)201-0021991
|
650 |
|
6 |
|a A�erospatiale (Ing�enierie)
|0 (CaQQLa)201-0277933
|
650 |
|
6 |
|a Fiabilit�e.
|0 (CaQQLa)201-0026464
|
650 |
|
7 |
|a aerospace engineering.
|2 aat
|0 (CStmoGRI)aat300054478
|
650 |
|
7 |
|a aeronautical engineering.
|2 aat
|0 (CStmoGRI)aat300162449
|
650 |
|
7 |
|a MATHEMATICS
|x Applied.
|2 bisacsh
|
650 |
|
7 |
|a MATHEMATICS
|x Probability & Statistics
|x General.
|2 bisacsh
|
650 |
|
7 |
|a Aerospace engineering.
|2 fast
|0 (OCoLC)fst00798623
|
650 |
|
7 |
|a Engineering mathematics.
|2 fast
|0 (OCoLC)fst00910601
|
650 |
|
7 |
|a Engineering
|x Statistical methods.
|2 fast
|0 (OCoLC)fst00910415
|
650 |
|
7 |
|a Reliability (Engineering)
|2 fast
|0 (OCoLC)fst01093646
|
650 |
|
7 |
|a Probabilitats.
|2 lemac
|
650 |
|
7 |
|a Enginyeria industrial
|x �Mtodes esta�dstics.
|2 lemac
|
700 |
1 |
|
|a Balesdent, Mathieu,
|d 1985-
|e author.
|
776 |
0 |
8 |
|c Original
|z 9780081000915
|z 008100091X
|w (OCoLC)907204598
|
830 |
|
0 |
|a Woodhead Publishing in mechanical engineering ;
|v no. 720.
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780081000915
|z Texto completo
|