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Markov processes for stochastic modeling

Author: Oliver C Ibe
Publisher: London : Elsevier, 2013.
Series: Elsevier insights.
Edition/Format:   Print book : English : Second editionView all editions and formats
Summary:

Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. Covering a range of areas of application of Markov processes,  Read more...

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Document Type: Book
All Authors / Contributors: Oliver C Ibe
ISBN: 9780124077959 0124077951 0124078397 9780124078390
OCLC Number: 835968946
Notes: Previous edition: Amsterdam; London: Academic, 2009.
Description: xviii, 494 pages : illustrations ; 24 cm.
Contents: 1. Basic Concepts in Probability --
2. Basic Concepts in Stochastic Processes --
3 Introduction to Markov Processes --
4. Discrete-Time Markov Chains --
5. Continuous-Time Markov Chains --
6. Markov Renewal Processes --
7. Markovian Queueing Systems --
8. Random Walk --
9. Brownian Motion --
10. Diffusion Processes --
11 Levy Processes --
12. Markovian Arrival Processes --
13. Controlled Markov Processes --
14. Hidden Markov Models --
15. Markov Point Processes.
Series Title: Elsevier insights.
Responsibility: Oliver C. Ibe.

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"Markov processes are the most popular modeling tools for stochastic systems in many different fields, and Ibe compiles in a single volume many of the Markovian models used indifferent disciplines. Read more...

 
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