| 000 | 02937nam a22004575i 4500 | ||
|---|---|---|---|
| 001 | 978-0-85729-274-2 | ||
| 003 | DE-He213 | ||
| 005 | 20251006084443.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 110527s2011 xxk| s |||| 0|eng d | ||
| 020 | _a9780857292742 | ||
| 020 | _a99780857292742 | ||
| 024 | 7 |
_a10.1007/978-0-85729-274-2 _2doi |
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| 082 | 0 | 4 |
_a658.56 _223 |
| 100 | 1 |
_aNakagawa, Toshio. _eauthor. |
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| 245 | 1 | 0 |
_aStochastic Processes _h[electronic resource] : _bwith Applications to Reliability Theory / _cby Toshio Nakagawa. |
| 264 | 1 |
_aLondon : _bSpringer London, _c2011. |
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| 300 |
_aX, 254 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSpringer Series in Reliability Engineering, _x1614-7839 |
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| 505 | 0 | _a1. Introduction -- 2. Poisson Processes -- 3. Renewal Processes -- 4. Markov Chains -- 5. Semi-Markov and Markov Renewal Processes -- 6. Cumulative Processes -- 7. Brownian Motion and Lévy Processes -- 8. Redundant Systems. | |
| 520 | _aReliability theory is of fundamental importance for engineers and managers involved in the manufacture of high-quality products and the design of reliable systems. In order to make sense of the theory, however, and to apply it to real systems, an understanding of the basic stochastic processes is indispensable. As well as providing readers with useful reliability studies and applications, Stochastic Processes also gives a basic treatment of such stochastic processes as: the Poisson process, the renewal process, the Markov chain, the Markov process, and the Markov renewal process. Many examples are cited from reliability models to show the reader how to apply stochastic processes. Furthermore, Stochastic Processes gives a simple introduction to other stochastic processes such as the cumulative process, the Wiener process, the Brownian motion and reliability applications. Stochastic Processes is suitable for use as a reliability textbook by advanced undergraduate and graduate students. It is also of interest to researchers, engineers and managers who study or practise reliability and maintenance. | ||
| 650 | 0 | _aENGINEERING. | |
| 650 | 0 | _aDISTRIBUTION (PROBABILITY THEORY). | |
| 650 | 0 | _aSYSTEM SAFETY. | |
| 650 | 1 | 4 | _aENGINEERING. |
| 650 | 2 | 4 | _aQUALITY CONTROL, RELIABILITY, SAFETY AND RISK. |
| 650 | 2 | 4 | _aPROBABILITY THEORY AND STOCHASTIC PROCESSES. |
| 650 | 2 | 4 | _aOPERATIONS RESEARCH/DECISION THEORY. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9780857292735 |
| 830 | 0 |
_aSpringer Series in Reliability Engineering, _x1614-7839 |
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| 856 | 4 | 0 |
_uhttp://dx.doi.org/10.1007/978-0-85729-274-2 _zVer el texto completo en las instalaciones del CICY |
| 912 | _aZDB-2-ENG | ||
| 942 |
_2ddc _cER |
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| 999 |
_c60001 _d60001 |
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