Markov Processes for Stochastic Modeling (Paperback, 2nd edition)

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 areas 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 to provide a solid ground in the subject for the reader.

General

Imprint:	Elsevier - Health Sciences Division
Country of origin:	United States
Release date:	June 2013
First published:	2013
Authors:	Oliver Ibe
Dimensions:	154 x 229 x 30mm (L x W x T)
Format:	Paperback
Pages:	516
Edition:	2nd edition
ISBN-13:	978-0-323-28295-6
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics
LSN:	0-323-28295-4
Barcode:	9780323282956

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