| 000 | 01112nam a22002057a 4500 | ||
|---|---|---|---|
| 008 | 120706t xxu||||| |||| 00| 0 eng d | ||
| 020 | _a9780486497976 | ||
| 020 | _a0486497976 | ||
| 050 | _aQA274.C56 | ||
| 100 | _aCinlar, Erham | ||
| 245 |
_aIntroduction to stochastic processes. / _cErham Cinlar |
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| 250 | _a(Dover ed.) | ||
| 260 |
_aNew York: _bDover Publications, _c2013. |
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| 300 |
_a1 vol. (x, 402 p) : _bill.; |
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| 500 | _aIncludes index. | ||
| 505 | _aContents: Probability spaces and random variables -- Expectations and independence --Bernoulli processes and sums of independent random variables -- Poisson processes -- Markov chains -- Limiting behavior and applications of Markov chains -- Potentials, excessive functions, and optimal stopping of Markov chains -- Markov processes -- Renewal theory -- Markov renewal theory -- After word -- Appendix: Non-negative matrices | ||
| 520 | _aThis clear presentation of the most fundamental models of random phenomena employs methods that recognize computer-related aspects of theory. | ||
| 650 | _aStochastic processes. | ||
| 942 |
_2lcc _cBK |
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| 999 |
_c7385 _d14885 |
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