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024 7 $a10.1007/978-1-4471-4588-2
035   $a(CKB)2670000000278370
035   $a(EBL)1081741
035   $a(OCoLC)820026017
035   $a(SSID)ssj0000798918
035   $a(PQKBManifestationID)11440641
035   $a(PQKBTitleCode)TC0000798918
035   $a(PQKBWorkID)10755543
035   $a(PQKB)10875592
035   $a(DE-He213)978-1-4471-4588-2
035   $a(MiAaPQ)EBC1081741
035   $a(PPN)168293846
035   $a(EXLCZ)992670000000278370
100   $a20121203d2012      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 14$aThe Monte Carlo simulation method for system reliability and risk analysis /$fby Enrico Zio
205   $a1st ed. 2013.
210   $aLondon $cSpringer$d2012
215   $a1 online resource (203 p.)
225  0$aSpringer series in reliability engineering
300   $aDescription based upon print version of record.
311   $a1-4471-5901-2 
311   $a1-4471-4587-9 
327   $a1.Introduction -- 2.System Reliability and Risk Analysis -- 3.Monte Carlo Simulation- the Method -- 4.System Reliability and Risk Analysis by Monte Carlo Simulation -- 5.Practical Applications of Monte Carlo Simulation for System Reliability Analysis -- 6.Advanced Mont Carlo Simulation Techniques for System Failure Probability Estimation -- 7.Practical Applications of Advanced Monte Carlo Simulation Techniques for System Techniques for System Failure Probability Estimation.
330   $aMonte Carlo simulation is one of the best tools for performing realistic analysis of complex systems as it allows most of the limiting assumptions on system behavior to be relaxed. The Monte Carlo Simulation Method for System Reliability and Risk Analysis comprehensively illustrates the Monte Carlo simulation method and its application to reliability and system engineering. Readers are given a sound understanding of the fundamentals of Monte Carlo sampling and simulation and its application for realistic system modeling.   Whilst many of the topics rely on a high-level understanding of calculus, probability and statistics, simple academic examples will be provided in support to the explanation of the theoretical foundations to facilitate comprehension of the subject matter. Case studies will be introduced to provide the practical value of the most advanced techniques.   This detailed approach makes The Monte Carlo Simulation Method for System Reliability and Risk Analysis a key reference for senior undergraduate and graduate students as well as researchers and practitioners. It provides a powerful tool for all those involved in system analysis for reliability, maintenance and risk evaluations.
410  0$aSpringer Series in Reliability Engineering,$x1614-7839
606   $aMonte Carlo method
606   $aReliability (Engineering)$xSimulation methods
615  0$aMonte Carlo method.
615  0$aReliability (Engineering)$xSimulation methods.
676   $a620.00452015118
700   $aZio$b Enrico$0954821
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910437905403321
996   $aThe Monte Carlo Simulation Method for System Reliability and Risk Analysis$92502779
997   $aUNINA