Overview
- The first textbook on queueing theory that does not require a course in stochastic processes as a prerequisite; suitable for applied science students not needing a specialized course in queueing theory
- For a broad interdisciplinary audience of advanced undergraduates, graduate students, researchers, and practitioners in applied mathematics, statistics, computer science, operations research, and industrial, systems, manufacturing, and communications engineering
- Modeling exercises are included as a motivational tool; review exercises cover background material on statistical distributions
- Includes a chapter on modeling using computational tools
- Minimal prerequisites: calculus with some differential equations and an undergraduate course in probability and statistics
- Chapter 10 material on statistical methods does not appear in any other introductory or even more advanced textbooks on queueing theory
- Instructor's guide to solutions of exercises available upon request
- Includes supplementary material: sn.pub/extras
- Request lecturer material: sn.pub/lecturer-material
Part of the book series: Statistics for Industry and Technology (SIT)
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Table of contents (15 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Reviews
"This is a new addition to the literature in Queueing Theory, which has been a subject area of intense interest because of its theoretical [richness] and wide applicability. This book has brought a freshness and novelty as it deals mainly with modeling and analysis in applications as well as with statistical inference for queueing problems. The book includes basics of stochastic processes and some mathematical topics, in addition to a chapter written by two computer scientists on modeling and analysis using computational tools, with useful simulation programs...With his 40 years of valuable experience in teaching and high level research in this subject area, Professor Bhat has been able to achieve what he aimed: to make [the work] somewhat different in content and approach from other books."—Assam Statistical Review
“The huge range of applications makes queueing theory an interesting object of study for students of mathematics, computer science, operations research and engineering. This book is an introduction to queueing theory. … The book also contains 3 appendices about Poisson and Markov processes and other background material … . the extensive bibliography of the queueing literature (202 references) which is given at the end of the book … help readers to further their research.” (Slobodanka S. Mitrović, Mathematical Reviews, Issue 2010 a)
“It is aimed at beginning graduate students and advanced undergraduate students in industrial engineering, electrical engineering, computer science, operations research, management science, mathematics, and statistics. … it covers a surprisingly large number of topics, including some that do not get much attention in other, much large books. … As far as writing style is concerned, Bhat tends to be precise and concise. … I like books that can be short yet make a major contribution.” (Myron Hlynka, Technometrics, Vol. 52 (1), February,2010)
Authors and Affiliations
Bibliographic Information
Book Title: An Introduction to Queueing Theory
Book Subtitle: Modeling and Analysis in Applications
Authors: U. Narayan Bhat
Series Title: Statistics for Industry and Technology
DOI: https://doi.org/10.1007/978-0-8176-4725-4
Publisher: Birkhäuser Boston, MA
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Birkhäuser Boston 2008
Series ISSN: 2364-6241
Series E-ISSN: 2364-625X
Edition Number: 1
Number of Pages: XII, 268
Number of Illustrations: 5 b/w illustrations
Topics: Probability Theory and Stochastic Processes, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Operations Research, Management Science, Statistical Theory and Methods, Mathematical Modeling and Industrial Mathematics, Industrial and Production Engineering