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007 | cr cnu---unuuu | ||
008 | 140329s2014 si ob 001 0 eng d | ||
040 |
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019 | _a900168752 | ||
020 |
_a9781118398050 _q(electronic bk.) |
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020 |
_a111839805X _q(electronic bk.) |
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020 | _a1306550645 | ||
020 | _a9781306550642 | ||
020 | _z9781118398067 | ||
020 | _z1118398068 | ||
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035 |
_a(OCoLC)875098579 _z(OCoLC)900168752 |
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050 | 4 |
_aTA330 _b.A839 2014 |
|
082 | 0 | 4 | _a519.2 |
049 | _aMAIN | ||
100 | 1 | _aAu, Siu-Kui. | |
245 | 1 | 0 |
_aEngineering risk assessment with subset simulation / _cSiu-Kui Au, Yu Wang. |
260 |
_aSingapore : _bWiley, _c2014. |
||
300 | _a1 online resource (337 pages) | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
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588 | 0 | _aPrint version record. | |
504 | _aIncludes bibliographical references and index. | ||
520 | _aThis book starts with the basic ideas in uncertainty propagation using Monte Carlo methods and the generation of random variables and stochastic processes for some common distributions encountered in engineering applications. It then introduces a class of powerful simulation techniques called Markov Chain Monte Carlo method (MCMC), an important machinery behind Subset Simulation that allows one to generate samples for investigating rare scenarios in a probabilistically consistent manner. The theory of Subset Simulation is then presented, addressing related practical issues encountered in th. | ||
650 | 0 |
_aEngineering design _xMathematics. |
|
650 | 0 |
_aRisk assessment _xMathematics. |
|
650 | 4 |
_aEngineering design _xMathematics. |
|
650 | 4 |
_aRisk assessment _xMathematics. |
|
650 | 4 | _aSet theory. | |
655 | 4 | _aElectronic books. | |
700 | 1 |
_aWang, Yu, _d1977- |
|
776 | 0 | 8 |
_iPrint version: _aAu, Siu-Kui. _tEngineering Risk Assessment with Subset Simulation. _dHoboken : Wiley, ©2014 _z9781118398043 |
856 | 4 | 0 |
_uhttp://onlinelibrary.wiley.com/book/10.1002/9781118398050 _zWiley Online Library [Free Download only for SUST IP] |
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