Markov Processes for Stochastic Modeling is popular PDF and ePub book, written by Oliver Ibe in 2013-05-22, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Markov Processes for Stochastic Modeling can be Read Online from any device for your convenience.
Markov Processes for Stochastic Modeling Book PDF 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 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. Presents both the theory and applications of the different aspects of Markov processes Includes numerous solved examples as well as detailed diagrams that make it easier to understand the principle being presented Discusses different applications of hidden Markov models, such as DNA sequence analysis and speech analysis.
Detail Book of Markov Processes for Stochastic Modeling PDF
- Author : Oliver Ibe
- Release : 22 May 2013
- Publisher : Newnes
- ISBN : 9780124078390
- Genre : Mathematics
- Total Page : 515 pages
- Language : English
- PDF File Size : 17,7 Mb
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