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: Markov processes
  name:
    name part: Kirkwood, James R.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2026
    copyright date: 2026
    edition: Second edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (viii, 337 pages) : illustrations.
  abstract: "Markov Processes provides a bridge from an undergraduate probability course to a course in stochastic processes. The text is designed to be understandable to students who have taken an undergraduate probability course without needing an instructor to fill in any gaps. Clear, rigorous, and intuitive, the second edition builds on the successful first, used in courses and as a reference for those that want to see detailed proofs of the theorems of Markov processes. It contains copious computational examples that motivate and illustrate the theorems. The second edition presents a new chapter illustrating the utility of using digraphs to describe whether a Markov process is reducible, absorbing, etc. There are additional exercises, and some material has been Applications to a number of fields, including economics, physics, and mathematical biology. The book begins with a review of basic probability, then covers the case of finite state, discrete time Markov processes. Building on this, the text deals with the discrete time, infinite state case and provides background for continuous Markov processes with exponential random variables and Poisson processes. It presents continuous Markov processes which include the basic material of Kolmogorov's equations, infinitesimal generators, and explosions. The book concludes with coverage of both discrete and continuous reversible Markov chains. While Markov processes are touched on in probability courses, this book offers the opportunity to concentrate on the topic when additional study is required. It creates a more seamless transition to prepare the student for what comes next"--
  table of contents: Preface to Second Edition 1. Review of Probability 2. Discrete-Time, Finite-State Markov Chains 3. Discrete-Time, Infinite-State Markov Chains 4. Exponential Distribution and Poisson Process 5. Continuous Time Markov Chains 6. Queuing Models and Detailed Balance Equations 7. Reversible Markov Chains 8.Digraphs
  note: James R. Kirkwood.
  note: "A Chapman & Hall Book" - from cover.
  note: Includes bibliographical references and index.
  subject:
    topic: Markov processes
  subject:
    topic: Processus de Markov
  subject:
    topic: Markov;Probability;Markov chains;Exponential distribution;Poisson process;Stochastic processes
  classification: QA274.7 .K58 2026
  classification: 519.2/33
  related item:
    title info:
      title: Markov processes
    name:
      name part: Kirkwood, James R.
    origin info:
      publisher: Boca Raton : CRC Press, 2025
      edition: Second edition.
    identifier: (DLC) 2025021615
  related item:
    title info:
      title: Advances in applied mathematics
  identifier: 9781003629368
  identifier: 1003629369
  identifier: 9781040433874
  identifier: 1040433871
  identifier: 9781040433782
  identifier: 1040433782
  identifier: 9781041045311
  identifier: 9781041046660
  identifier: 2025021616
  identifier: 9781003629368 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 250624
    record change date: 20251215184541.1
    record identifier: in00005673288
    language of cataloging:
      language term: eng