Markov processes for stochastic modeling /

Markov processes for stochastic modeling /

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Bibliographic Details
Author / Creator:	Ibe, Oliver C. (Oliver Chukwudi), 1947- author.
Edition:	Second edition.
Imprint:	London : Elsevier, 2013.
Description:	1 online resource (xviii, 494 pages).
Language:	English
Series:	Elsevier insights Elsevier insights.
Subject:	Markov processes. Stochastic processes. MATHEMATICS -- Probability & Statistics -- Stochastic Processes. Markov processes. Stochastic processes. Electronic books. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11191158

Hidden Bibliographic Details
ISBN:	9780124077959 0124077951 9780124078390 0124078397 9780124077959 0124077951
Notes:	Includes bibliographical references. Print version record.
Summary:	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.
Other form:	Print version: Ibe, Oliver C. (Oliver Chukwudi), 1947- Markov processes for stochastic modeling. 2nd edition 9780124077959

Table of Contents:

Chapter 1. Basic Concepts
Chapter 10. Controlled Markov Processes
Chapter 11. Hidden Markov Models
Chapter 12. Markov Point Processes
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