000 | 01638cam a22003254a 4500 | ||
---|---|---|---|
001 | 16528275 | ||
003 | BD-DhUL | ||
005 | 20210308152720.0 | ||
008 | 101102s2011 flua | 001 0 eng | ||
010 | _a 2010043676 | ||
015 |
_aGBB060839 _2bnb |
||
016 | 7 |
_a015551232 _2Uk |
|
020 | _a9781439818824 (hbk) | ||
035 | _a(OCoLC)ocn615883171 | ||
040 |
_aDLC _cDLC _dYDX _dUKM _dYDXCP _dBTCTA _dCDX _dPUL _dINU _dDLC _dBD-DhUL |
||
042 | _apcc | ||
082 | 0 | 0 |
_a519.23 _bALI |
100 | 1 | _aAllen, Linda J. S. | |
245 | 0 | 3 |
_aAn introduction to stochastic processes with applications to biology / _cLinda J. S. Allen. |
250 | _a2nd ed. | ||
260 |
_aBoca Raton : _bChapman & Hall/CRC, _c2011. |
||
300 |
_axxiv, 466 p. : _bill. ; _c25 cm |
||
365 |
_b50.99 _c$ |
||
365 |
_bEuro _c60.00 |
||
504 | _aIncludes bibliographical references and index. | ||
520 |
_a"The second edition of a bestseller, this textbook delineates stochastic processes, emphasizing applications in biology. It includes MATLAB throughout the book to help with the solutions of various problems. The book is organized according to the three types of stochastic processes: discrete time Markov chains, continuous time Markov chains and continuous time and state Markov processes. It contains a new chapter on the biological applications of stochastic differential equations and new sections on alternative methods for derivation of a stochastic differential equation, data and parameter estimation, Monte Carlo simulation, and more"-- _cProvided by publisher. |
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650 | 0 | _aStochastic processes. | |
650 | 0 | _aBiomathematics. | |
942 |
_2ddc _cBK |
||
999 |
_c214183 _d214183 |