Markov Processes for Stochastic Modeling.

Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model the behavior of many systems including communications systems, transportation networks, image segmentation and analysis, biological systems...

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Bibliographic Details
Main Author: Ibe, Oliver
Format: eBook
Language:English
Published: Burlington : Elsevier Science, 2013.
Edition:2nd ed.
Subjects:
Online Access:Click for online access
Description
Summary:Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model the behavior of many systems 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, resource management, dams, financial engineering, actuarial science, and decision systems. Covering a wide range of.
Item Description:4.6 Sojourn Time.
Physical Description:1 online resource (515 pages)
Bibliography:Includes bibliographical references.
ISBN:9780124078390
0124078397
Source of Description, Etc. Note:Print version record.