Markov Processes for Stochastic Modeling
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Markov Processes for Stochastic Modeling

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Markov processes are used to model systems with limited memory. They are used in many areas including communications systems, transportation networks, image segmentation and analysis, biological systems and DNA sequence analysis, random atomic motion and diffusion in physics, social mobility, population studies, epidemiology, animal and insect migration, queueing systems, ...more
Hardcover, 490 pages
Published September 1st 2008 by Academic Press
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Student Solutions Manual for Markov Processes for Stochastic Modeling Fundamentals of Applied Probability and Random Processes

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