rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: An
    title: Introduction to Queueing Theory
    sub title: Modeling and Analysis in Applications
  name:
    name part: Bhat, U. Narayan.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2015
    edition: 2nd ed. 2015.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 339 p. 18 illus., 6 illus. in color. online resource.
  abstract: 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 wide 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. • Applications in manufacturing and, computer and communication systems. • 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. • A chapter on the simulation of queueing systems. 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. Review of the first edition: "This book is precisely what the title says it is. It is aimed …
  table of contents: 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.
  note: by U. Narayan Bhat.
  subject:
    topic: Statistics
  subject:
    topic: Sequences (Mathematics)
  subject:
    topic: Mathematical models
  subject:
    topic: Probabilities
  subject:
    topic: Industrial engineering
  subject:
    topic: Production engineering
  subject:
    topic: Statistics
  subject:
    topic: Statistical Theory and Methods
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  subject:
    topic: Sequences, Series, Summability
  subject:
    topic: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  subject:
    topic: Industrial and Production Engineering
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Statistics for Industry and Technology
  identifier: 9780817684211
  identifier: http://dx.doi.org/10.1007/978-0-8176-8421-1
  record info:
    record creation date: 150709
    record change date: 20151204170001.0
    record identifier: 978-0-8176-8421-1