03610nam 2200637Ia 450 991043790540332120200520144314.0978128391101612839110199781447145882144714588710.1007/978-1-4471-4588-2(CKB)2670000000278370(EBL)1081741(OCoLC)820026017(SSID)ssj0000798918(PQKBManifestationID)11440641(PQKBTitleCode)TC0000798918(PQKBWorkID)10755543(PQKB)10875592(DE-He213)978-1-4471-4588-2(MiAaPQ)EBC1081741(PPN)168293846(EXLCZ)99267000000027837020121203d2012 uy 0engur|n|---|||||txtccrThe Monte Carlo simulation method for system reliability and risk analysis /by Enrico Zio1st ed. 2013.London Springer20121 online resource (203 p.)Springer series in reliability engineeringDescription based upon print version of record.9781447159018 1447159012 9781447145875 1447145879 1.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.Monte 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.Springer Series in Reliability Engineering,1614-7839Monte Carlo methodReliability (Engineering)Simulation methodsMonte Carlo method.Reliability (Engineering)Simulation methods.620.00452015118Zio Enrico954821MiAaPQMiAaPQMiAaPQBOOK9910437905403321The Monte Carlo Simulation Method for System Reliability and Risk Analysis2502779UNINA01441nam0 22003613i 450 PUV004562020251003044310.0084934275920071203d1990 ||||0itac50 baengusz01i xxxe z01nMicroprocessors and microcomputer-based system designMohamed RafiquzzamanBoca Raton [etc.]CRC press, c199OXVII, 1075 p.25 cm.MicroprocessoriFIRCFIC027016EMicroelaboratoriStrutturaFIRNAPC221476I004.16Elaborazione dei dati. Microelaboratori14004.16cd 2022Microelaboratori elettroniciPersonal computerPC <Personal computer>MicroelaboratoriMicroelaboratori elettroniciMicroelaboratoriPersonal computerMicroelaboratoriPC <Personal computer>Rafiquzzaman, MohamedRAVV022048070543573ITIT-00000020071203IT-BN0095 NAP 01SALA DING $PUV0045620Biblioteca Centralizzata di Ateneo1 v.1 v. 01SALA DING 004.16 RAF.mi 0102 0000004685 VMA A4 v. 1 (3. rist. 1991)Y 2007120320071203 01Microprocessors and microcomputer-based system design1574046UNISANNIO