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Continuous-Time Markov Chains and Applications: A Singular Perturbation Approach.(Review)
- Article from:
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Technometrics
- Article date:
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May 1, 2001
- Author:
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Copyright informationCOPYRIGHT 2001 American Statistical Association. This material is published under license from the publisher through the Gale Group, Farmington Hills, Michigan. All inquiries regarding rights should be directed to the Gale Group. (Hide copyright information)
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Continuous-Time Markov Chains and Applications: A Singular Perturbation Approach, by G. George YIN and Qing ZHANG, New York, Springer-Verlag, 1998, ISBN 0-387-98244-2, xv + 349 pp., $59.95.
This is an important contribution to a modern area of applied probability that deals with nonstationary Markov chains in continuous time. This area is becoming increasingly useful in engineering, economics, communication theory, active networking, and so forth, where the Markov-chain system is subject to frequent fluctuations with clusters of states such that the chain fluctuates very rapidly among different states of a cluster but changes less rapidly from one cluster to another.
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