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: Fundamentals of Matrix-Analytic Methods
  name:
    name part: He, Qi-Ming.
    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: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 349 p. online resource.
  abstract: Fundamentals of Matrix-Analytic Methods targets advanced-level students in mathematics, engineering and computer science. It focuses on the fundamental parts of Matrix-Analytic Methods, Phase-Type Distributions, Markovian arrival processes and Structured Markov chains and matrix geometric solutions. New materials and techniques are presented for the first time in research and engineering design. This book emphasizes stochastic modeling by offering probabilistic interpretation and constructive proofs for Matrix-Analytic Methods. Such an approach is especially useful for engineering analysis and design. Exercises and examples are provided throughout the book.
  table of contents: From Exponential Distribution to Phase-Type Distribution -- From Poisson Process to Markovian Arrival Process -- From Birth-and-Death Process to Structured Markov Chain -- Applications in Queueing Theory -- Applications in Inventory and Supply Chain Management.
  note: by Qi-Ming He.
  subject:
    topic: Computer science
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Computer science
    topic: Mathematics
  subject:
    topic: Mathematical models
  subject:
    topic: Management science
  subject:
    topic: Probabilities
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Computer Science
  subject:
    topic: Mathematics of Computing
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Operations Research, Management Science
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Operation Research/Decision Theory
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  classification: QA76.9.M35
  classification: 004.0151
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781461473305
  identifier: http://dx.doi.org/10.1007/978-1-4614-7330-5
  record info:
    record creation date: 130806
    record change date: 20151218102727.0
    record identifier: 978-1-4614-7330-5