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An Introduction to Queueing Theory (2nd Ed., 2nd ed. 2015) Modeling and Analysis in Applications Statistics for Industry and Technology Series

Langue : Anglais

Auteur :

Couverture de l’ouvrage An Introduction to Queueing Theory

This introductory textbook is designed for a one-semester course on queueing theory that does not require a course on 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. This edition includes additional topics in methodology and applications.

Key features:

? An introductory chapter including a historical account of the growth of queueing theory in more than 100 years.

? A modeling-based approach with emphasis on identification of models

? Rigorous treatment of the foundations of basic models commonly used in applications with appropriate references for advanced topics.

? A chapter on matrix-analytic method as an alternative to the traditional methods of analysis of queueing systems.

? A comprehensive treatment of statistical inference for queueing systems.

? Modeling exercises and review exercises when appropriate.

The second edition of An Introduction of 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 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.

"...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. 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 of the first edition

Introduction.- System Element Models.- Basic Concepts in Stochastic Processes.- Simple Markovian Queueing Systems.- Imbedded Markov Chain Models for M/G/1 and G/M/1 Queues.- Extended Markov and Renewal Models.- Queueing Networks.- Matrix-Analytic Queueing Models.- The General Queue G/G/1 and Approximations.- Statistical Inference for Queueing Models.- Decision Problems in Queueing Theory.- Queueing Theory Applications in the Analysis of Manufacturing Systems.- Queueing Theory Applications in the Analysis of Computer and Communication Systems.- Simulating Queueing Systems.
U. Narayan Bhat is a Professor Emeritus in the Statistical Science Department at Southern Methodist University, Texas, USA. His research interests include: queueing theory, probability models for computer and communication systems, reliability and statistics and applied probability and statistics.

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

Modeling exercises are included as a motivational tool; review exercises cover background material on statistical distributions

Includes a chapter on modeling using computational tools

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

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