Markov chains and decision processes for engineers and managers /

"This book presents an introduction to finite Markov chains and Markov decision processes, with applications in engineering and management. It introduces discrete-time, finite-state Markov chains, and Markov decision processes. The text describes both algorithms and applications, enabling stude...

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Bibliographic Details
Main Author: Sheskin, Theodore J. (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton, Fla. : CRC Press, [2011]
Subjects:
Online Access:Connect to the full text of this electronic book

MARC

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245 1 0 |a Markov chains and decision processes for engineers and managers /  |c Theodore J. Sheskin. 
264 1 |a Boca Raton, Fla. :  |b CRC Press,  |c [2011] 
264 4 |c 2011 
300 |a 1 online resource :  |b text file, PDF 
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504 |a Includes bibliographical references and index. 
505 0 |a chapter 1. Markov chain structure and models -- chapter 2. Regular Markov chains -- chapter 3. Reducible Markov chains -- chapter 4. A Markov Chain with Rewards (MCR) -- chapter 5. A Markov Decision Process (MDP) -- chapter 6. Special topics : state reduction and hidden Markov chains. 
520 |a "This book presents an introduction to finite Markov chains and Markov decision processes, with applications in engineering and management. It introduces discrete-time, finite-state Markov chains, and Markov decision processes. The text describes both algorithms and applications, enabling students to understand the logical basis for the algorithms and be able to apply them. The applications address problems in government, business, and nonprofit sectors. The author uses Markov models to approximate the random behavior of complex systems in diverse areas, such as management, production, science, education, health services, finance, and marketing"--  |c Provided by publisher. 
530 |a Also available in print format. 
650 0 |a Decision making  |x Mathematics. 
650 0 |a Markov processes. 
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