000 | 03464nam a22005177a 4500 | ||
---|---|---|---|
001 | sulb-eb0021522 | ||
003 | BD-SySUS | ||
005 | 20160413122148.0 | ||
007 | cr nn 008mamaa | ||
008 | 121116s2013 xxk| s |||| 0|eng d | ||
020 |
_a9781447145882 _9978-1-4471-4588-2 |
||
024 | 7 |
_a10.1007/978-1-4471-4588-2 _2doi |
|
050 | 4 | _aTA329-348 | |
050 | 4 | _aTA640-643 | |
072 | 7 |
_aTBJ _2bicssc |
|
072 | 7 |
_aMAT003000 _2bisacsh |
|
082 | 0 | 4 |
_a519 _223 |
100 | 1 |
_aZio, Enrico. _eauthor. |
|
245 | 1 | 4 |
_aThe Monte Carlo Simulation Method for System Reliability and Risk Analysis _h[electronic resource] / _cby Enrico Zio. |
264 | 1 |
_aLondon : _bSpringer London : _bImprint: Springer, _c2013. |
|
300 |
_aXIV, 198 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aSpringer Series in Reliability Engineering, _x1614-7839 |
|
505 | 0 | _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. | |
520 | _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. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aComputer mathematics. | |
650 | 0 | _aProbabilities. | |
650 | 0 | _aApplied mathematics. | |
650 | 0 | _aEngineering mathematics. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aAppl.Mathematics/Computational Methods of Engineering. |
650 | 2 | 4 | _aComputational Science and Engineering. |
650 | 2 | 4 | _aProbability Theory and Stochastic Processes. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9781447145875 |
830 | 0 |
_aSpringer Series in Reliability Engineering, _x1614-7839 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-1-4471-4588-2 |
912 | _aZDB-2-ENG | ||
942 |
_2Dewey Decimal Classification _ceBooks |
||
999 |
_c43614 _d43614 |