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|a 9781439894682
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1 |
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|a Allen, Linda J. S.,
|e author.
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| 245 |
1 |
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|a An introduction to stochastic processes with applications to biology /
|c by Linda J. S. Allen.
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| 250 |
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|a Second edition.
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| 264 |
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|a Boca Raton, FL :
|b Chapman and Hall/CRC, an imprint of Taylor and Francis,
|c 2010.
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|a 1 online resource (496 pages) :
|b 102 illustrations
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| 336 |
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|a text
|b txt
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|a online resource
|b cr
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| 505 |
0 |
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|a chapter 1 Review of Probability Theory and an Introduction to Stochas- tic Processes -- chapter 2 Discrete-Time Markov Chains -- chapter 3 Biological Applications of Discrete-Time Markov Chains -- chapter 4 Discrete-Time Branching Processes -- chapter 5 Continuous-Time Markov Chains -- chapter 6 Continuous-Time Birth and Death Chains -- chapter 7 Biological Applications of Continuous-Time Markov Chains -- chapter 8 Diffusion Processes and Stochastic Differential Equations -- chapter 9 Biological Applications of Stochastic Differential Equations.
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| 520 |
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|a An Introduction to Stochastic Processes with Applications to Biology, Second Edition presents the basic theory of stochastic processes necessary in understanding and applying stochastic methods to biological problems in areas such as population growth and extinction, drug kinetics, two-species competition and predation, the spread of epidemics, and the genetics of inbreeding. Because of their rich structure, the text focuses on discrete and continuous time Markov chains and continuous time and state Markov processes.
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| 650 |
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0 |
|a Biomathematics.
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| 650 |
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0 |
|a Stochastic processes.
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| 650 |
|
7 |
|a MATHEMATICS / Probability & Statistics / Bayesian Analysis.
|2 bisacsh
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| 655 |
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|a Electronic books.
|2 local
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| 710 |
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|a Taylor & Francis.
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| 710 |
2 |
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|a Taylor and Francis.
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| 730 |
0 |
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|a MATHnetBASE.
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|i Print version:
|z 9781439818824
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|a Texas A&M University
|b College Station
|c Electronic Resources
|d Available Online
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| 998 |
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|a QA274.A63
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