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An Introduction to Queueing Theory Modeling and Analysis in Applications /

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 introducti...

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Main Author: Bhat, U. Narayan. (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser, 2008.
Edition:1st ed. 2008.
Series:Statistics for Industry and Technology,
Subjects:
Probabilities.
Statistics .
Operations research.
Management science.
Mathematical models.
Industrial engineering.
Production engineering.
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.
Online Access:https://doi.org/10.1007/978-0-8176-4725-4
Table of Contents:
  • 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.

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