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Catalogue Information
Field name	Details
Dewey Class	519.5
Title	An Introduction to Queueing Theory ([Ebook]) : Modeling and Analysis in Applications / by U. Narayan Bhat.
Author	Bhat, U. Narayan
Other name(s)	SpringerLink (Online service)
Publication	Boston : Birkhäuser , 2008.
Physical Details	XII, 268 pages: 5 illus. : online resource.
Series	Statistics for Industry and Technology
ISBN	9780817647254
Summary Note	This introductory textbook is designed for a one-semester course on queueing theory that does not require a course in stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, the work provides a sound foundational introduction to the modeling and analysis of queueing systems for a broad interdisciplinary audience of students in mathematics, statistics, and applied disciplines such as computer science, operations research, and engineering. Key features: * An introductory chapter including a historical account of the growth of queueing theory in the last 100 years. * A modeling-based approach with emphasis on identification of models using topics such as collection of data and tests for stationarity and independence of observations. * Rigorous treatment of the foundations of basic models commonly used in applications with appropriate references for advanced topics. * A chapter on modeling and analysis using computational tools. * A comprehensive treatment of statistical inference for queueing systems. * A discussion of operational and decision problems. * Modeling exercises as a motivational tool, and review exercises covering background material on statistical distributions. An Introduction to Queueing Theory may be used as a textbook by first-year graduate students in fields such as computer science, operations research, industrial and systems engineering, as well as related fields such as manufacturing and communications engineering. Upper-level undergraduate students in mathematics, statistics, and engineering may also use the book in an elective introductory course on queueing theory. With its rigorous coverage of basic material and extensive bibliography of the queueing literature, the work may also be useful to applied scientists and practitioners as a self-study reference for applications and further research.:
Contents note	Preface -- Introduction -- System Element Models -- Basic Concepts in Stochastic Processes -- Simple Markovian Queueing Systems -- Imbedded Markov Chain Models -- Extended Markov Models -- Queueing Networks -- Renewal Process Models -- The General Queue G/G/1 and Approximations -- Statistical Inference for Queueing Models -- Decision Problems in Queueing Theory -- Modeling and Analysis Using Computational Tools -- Appendix A. Poisson Process: Properties and Related Distributions -- Appendix B. Markov Process -- Appendix C. Results from Mathematics -- References -- Index.
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site	http://dx.doi.org/10.1007/978-0-8176-4725-4
Links to Related Works	Subject References: Distribution (Probability theory) . Industrial and Production Engineering . Industrial engineering . Mathematical Modeling and Industrial Mathematics . Mathematical Statistics . Operations research, mathematical programming . Probability theory and stochastic processes . Statistics . Authors: Bhat, U. Narayan . Corporate Authors: SpringerLink (Online service) . Series: Statistics for Industry and Technology . Classification: 519.5 . 519.5 (DDC 22) .

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An Introduction to Queueing Theory: Modeling and Analysis in Applications

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