Markov Processes for Stochastic Modeling

Oliver C. Ibe

ISBN 10: 0323282954 / ISBN 13: 9780323282956

Published by Elsevier - Health Sciences Division, 2013

About this Item

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Bibliographic Details

Title: Markov Processes for Stochastic Modeling

Publisher: Elsevier - Health Sciences Division

Publication Date: 2013

Binding: Paperback / softback

Condition: New

Edition: 2nd Edition

About this title

Synopsis:

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 ofÿÿareas of application of Markov processes, this second edition is revised to highlight the most important aspects as well as the most recent trends and applications of Markov processes. The author spent over 16 years in the industry before returning to academia, and he has applied many of the principles covered in this book in multiple research projects. Therefore, this is an applications-oriented book that also includes enough theory toÿprovide a solid groundÿin the subject forÿthe reader.

Review:

This book brings into one volume the different applications of Markov processes