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: A
    title: first course in probability and Markov chains
  name:
    name part: Modica, Giuseppe.
    role:
      role term: creator
  name:
    name part: Poggiolini, Laura.
  name:
    name part: ebrary, Inc
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xii, 334 pages)
  abstract: "Provides an introduction to basic structures of probability with a view towards applications in information technology A First Course in Probability and Markov Chains presents an introduction to the basic elements in probability and focuses on two main areas. The first part explores notions and structures in probability, including combinatorics, probability measures, probability distributions, conditional probability, inclusion-exclusion formulas, random variables, dispersion indexes, independent random variables as well as weak and strong laws of large numbers and central limit theorem. In the second part of the book, focus is given to Discrete Time Discrete Markov Chains which is addressed together with an introduction to Poisson processes and Continuous Time Discrete Markov Chains. This book also looks at making use of measure theory notations that unify all the presentation, in particular avoiding the separate treatment of continuous and discrete distributions. A First Course in Probability and Markov Chains: Presents the basic elements of probability. Explores elementary probability with combinatorics, uniform probability, the inclusion-exclusion principle, independence and convergence of random variables. Features applications of Law of Large Numbers. Introduces Bernoulli and Poisson processes as well as discrete and continuous time Markov Chains with discrete states. Includes illustrations and examples throughout, along with solutions to problems featured in this book. The authors present a unified and comprehensive overview of probability and Markov Chains aimed at educating engineers working with probability and statistics as well as advanced undergraduate students in sciences and engineering with a basic background in mathematical analysis and linear algebra"--
  abstract: "A first course in Probability and Markov Chains presents an introduction to the basic elements in statistics and focuses in two main areas"--
  note: Giuseppe Modica and Laura Poggiolini.
  note: Electronic resource.
  note: Includes bibliographical references and index.
  subject:
    topic: Markov processes
  subject:
    topic: MATHEMATICS
    topic: Probability & Statistics
    topic: General
  subject:
    topic: MATHEMATICS
    topic: Probability & Statistics
    topic: Stochastic Processes
  classification: QA274.7 .M63 2013eb
  classification: 519.2/33
  classification: MAT029000
  related item:
    title info:
      title: First course in probability and Markov chains
    name:
      name part: Modica, Giuseppe.
    identifier: (DLC) 2012033463
  identifier: 9781118477793 (electronic bk.)
  identifier: 1118477790 (electronic bk.)
  identifier: 9781118477809 (electronic bk.)
  identifier: 1118477804 (electronic bk.)
  identifier: 9781118477748 (ePub)
  identifier: 111847774X (ePub)
  identifier: 9781118477816 (MobiPocke)
  identifier: 1118477812 (MobiPocke)
  identifier: 9781119944874 (hardback)
  identifier: 2012042679
  identifier: https://ebookcentral.proquest.com/lib/tamucs/detail.action
  related item:
    location:
      url: https://ebookcentral.proquest.com/lib/tamucs/detail.action
  record info:
    record content source: DLC
    record creation date: 121018
    record change date: 20250816213038.6
    record identifier: in00003097510
    language of cataloging:
      language term: eng