Sample-Path Analysis of Queueing Systems (International Series in Operations Research & Management Science, 11)
Language: English
Published by Springer, 2012
Series: Book 11 of 323 - International Series in Operations Research & Management Science
- Softcover
- New

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In English.
Seller Inventory # ria9781461376200_new
- Title
- Sample-Path Analysis of Queueing Systems (International Series in Operations Research & Management Science, 11)
- Author
- El-Taha, Muhammad; Stidham Jr., Shaler
- Publisher
- Springer
- Publication year
- 2012
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1461376203
- ISBN 13
- 9781461376200
- Item weight
- 560 grams
- Series
- Book 11 of 323: International Series in Operations Research & Management Science
The book consistently takes the point of view of focusing on one sample path of a stochastic process. Hence, it is devoted to providing pure sample-path arguments. With this approach it is possible to separate the issue of the validity of a relationship from issues of existence of limits and/or construction of stationary framework. Generally, in many cases of interest in queueing theory, relations hold, assuming limits exist, and the proofs are elementary and intuitive. In other cases, proofs of the existence of limits will require the heavy machinery of stochastic processes. The authors feel that sample-path analysis can be best used to provide general results that are independent of stochastic assumptions, complemented by use of probabilistic arguments to carry out a more detailed analysis. This book focuses on the first part of the picture. It does however, provide numerous examples that invoke stochastic assumptions, which typically are presented at the ends of the chapters.
"Synopsis" may belong to another edition of this title.
Review
Short Book Reviews, 19:2 (1999)
`... this monograph is well written, fairly comprehensive and a welcome addition to the growing number of books on queuing theory. It is of interest to a wide audience of operations researchers, applied probabilists and engineers.'
Mathematical reviews, 2002d
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