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:
    title: Stochastic models
  name:
    name part: Heyman, Daniel P.
  name:
    name part: Sobel, Matthew J.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: ne
    place:
      place term: Amsterdam
    place:
      place term: New York
    place:
      place term: New York, NY, U.S.A
    publisher: North-Holland
    publisher: Sole distributor for the U.S.A. and Canada, Elsevier Science Pub. Co.
    date issued: 1990
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xv, 723 pages)
  abstract: One of the central problems in operations research and management science is how to quantify the effects of uncertainty about the future. This, the second volume in a series of handbooks, is devoted to models where chance events play a major role. The thirteen chapters survey topics in applied probability that have been particularly useful in operations research and management science. Each chapter was written by an expert, both in subject matter and in its exposition. The chapters fall into four groups. The first four cover the fundamentals of stochastic processes, and lay the foundation for the following chapters. The next three chapters are concerned with methods of getting numbers. This includes numerical solution of models, parameter estimation for models, and simulation of models. Chapters 8 and 9 describe the fundamentals of dynamic optimization. The last four chapters are concerned with the most important structured models in operations research and management science; queues, queueing networks, inventories, and reliability.
  table of contents: Point processes / R.F. Serfozo -- Markov processes / A.F. Karr -- Martingales and random walks / H.M. Taylor -- Diffusion approximations / P.W. Glynn -- Computational methods in probability theory / W.K. Grassmann -- Statistical methods / J. Lehoczky -- Simulation experiments / B. Schmeiser -- Markov decision processes / M.L. Puterman -- Controlled continuous time Markov processes / R. Rishel -- Queueing theory / R.B. Cooper -- Queueing networks / J. Walrand -- Stochastic inventory theory / E.L. Porteus -- Reliability and maintainablilty / M. Shaked and J.G. Shanthikumar.
  note: edited by D.P. Heyman, M.J. Sobel.
  note: Includes bibliographical references and index.
  note: English.
  subject:
    topic: Stochastic processes
  subject:
    topic: Stochastic Processes
  subject:
    topic: Processus stochastiques
  subject:
    topic: MATHEMATICS
    topic: Probability & Statistics
    topic: General
  subject:
    topic: Stochastic processes
  subject:
    topic: Processus stochastiques
  subject:
    topic: Mathematical models
  classification: QA274 .S82 1990
  classification: 519.2
  classification: 31.70
  classification: 85.03
  classification: *00Bxx
  classification: 60-06
  classification: 62-06
  classification: 90-06
  related item:
    title info:
      title: Stochastic models
    origin info:
      publisher: Amsterdam ; New York : North-Holland ; New York, NY, U.S.A. : Sole distributor for the U.S.A. and Canada, Elsevier Science Pub. Co., 1990
    identifier: (DLC) 89077179
    identifier: (OCoLC)20825298
  related item:
    title info:
      title: Handbooks in operations research and management science ; v. 2
  identifier: 9780444874733
  identifier: 0444874739
  identifier: 9780444599247
  identifier: 044459924X
  identifier: 0444887059
  identifier: 133059:133182 Elsevier Science & Technology
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: OPELS
    record creation date: 120116
    record change date: 20260326191035.1
    record identifier: in00005749353
    language of cataloging:
      language term: eng