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OverviewFull Product DetailsAuthor: Oliver Ibe (University of Massachusetts, Lowell, USA)Publisher: Elsevier - Health Sciences Division Imprint: Elsevier - Health Sciences Division Edition: 2nd edition Dimensions: Width: 15.20cm , Height: 2.60cm , Length: 22.90cm Weight: 0.450kg ISBN: 9780323282956ISBN 10: 0323282954 Pages: 516 Publication Date: 01 June 2013 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsChapter 1: Basic Concepts Chapter 2: Introduction to Markov Processes Chapter 3: Discrete-Time Markov Chains Chapter 4: Continuous-Time Markov Chains Chapter 5: Markovian Queueing Systems Chapter 6: Markov Renewal Processes Chapter 7: Markovian Arrival Processes Chapter 8: Random Walk Chapter 9: Brownian Motion and Diffusion Processes Chapter 10: Controlled Markov Processes Chapter 11: Hidden Markov Models Chapter 12: Markov Point ProcessesReviews""Markov processes are the most popular modeling tools for stochastic systems in many different fields, and Ibe compiles in a single volume many of the Markovian models used indifferent disciplines. The information could be useful to graduate students and researchers in any field that uses Markov processes, he says, but he was thinking particularly of those in traffic engineering, image analysis, bioinformatics, biostatistics, financial engineering, and computational biology."" --Reference and Research Book News, October 2013 Markov processes are the most popular modeling tools for stochastic systems in many different fields, and Ibe compiles in a single volume many of the Markovian models used indifferent disciplines. The information could be useful to graduate students and researchers in any field that uses Markov processes, he says, but he was thinking particularly of those in traffic engineering, image analysis, bioinformatics, biostatistics, financial engineering, and computational biology. --Reference and Research Book News, October 2013 """Markov processes are the most popular modeling tools for stochastic systems in many different fields, and Ibe compiles in a single volume many of the Markovian models used indifferent disciplines. The information could be useful to graduate students and researchers in any field that uses Markov processes, he says, but he was thinking particularly of those in traffic engineering, image analysis, bioinformatics, biostatistics, financial engineering, and computational biology."" --Reference and Research Book News, October 2013" Author InformationDr Ibe has been teaching at U Mass since 2003. He also has more than 20 years of experience in the corporate world, most recently as Chief Technology Officer at Sineria Networks and Director of Network Architecture for Spike Broadband Corp. Tab Content 6Author Website:Countries AvailableAll regions |