04290nam a22005055i 4500 978-0-8176-4725-4 DE-He213 20260521092030.0 cr nn 008mamaa 100301s2008 xxu| s |||| 0|eng d 9780817647254 99780817647254 10.1007/978-0-8176-4725-4 doi Bhat, U. Narayan. author. An Introduction to Queueing Theory [electronic resource] : Modeling and Analysis in Applications / by U. Narayan Bhat. Boston : Birkhäuser Boston, 2008. XII, 268p. 5 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Statistics for Industry and Technology 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 //1 and Approximations -- Statistical Inference for Queueing Models -- Decision Problems in Queueing Theory -- Modeling and Analysis Using Computational Tools -- Poisson Process: Properties and Related Distributions -- Markov Process -- Results from Mathematics. 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. STATISTICS. OPERATIONS RESEARCH. DISTRIBUTION (PROBABILITY THEORY). MATHEMATICAL STATISTICS. INDUSTRIAL ENGINEERING. STATISTICS. STATISTICS FOR ENGINEERING, PHYSICS, COMPUTER SCIENCE, CHEMISTRY & GEOSCIENCES. OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING. STATISTICAL THEORY AND METHODS. PROBABILITY THEORY AND STOCHASTIC PROCESSES. MATHEMATICAL MODELING AND INDUSTRIAL MATHEMATICS. INDUSTRIAL AND PRODUCTION ENGINEERING. SpringerLink (Online service) Springer eBooks Printed edition: 9780817647247 Statistics for Industry and Technology http://dx.doi.org/10.1007/978-0-8176-4725-4 Ver el texto completo en las instalaciones del CICY ZDB-2-SMA ddc ER 35704 35704 0 0 ddc 0 0 LE CICY CICY EL 2025-10-06 0 2025-10-06 08:44:38 2025-10-06 ER