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  <titleInfo>
    <title>Introduction to stochastic processes</title>
  </titleInfo>
  <name type="personal">
    <namePart>Cinlar, Erham</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
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  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">xxu</placeTerm>
    </place>
    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>Dover Publications</publisher>
    <dateIssued>2013</dateIssued>
    <edition>(Dover ed.)</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>1 vol. (x, 402 p) : ill.;</extent>
  </physicalDescription>
  <abstract>This clear presentation of the most fundamental models of random phenomena employs methods that recognize computer-related aspects of theory.</abstract>
  <tableOfContents>Contents:  Probability spaces and random variables -- Expectations and independence --Bernoulli processes and sums of independent random variables -- Poisson processes -- Markov chains -- Limiting behavior and applications of Markov chains -- Potentials, excessive functions, and optimal stopping of Markov chains --  Markov processes -- Renewal theory -- Markov renewal theory -- After word -- Appendix: Non-negative matrices</tableOfContents>
  <note type="statement of responsibility">Erham  Cinlar</note>
  <note>Includes index.</note>
  <subject>
    <topic>Stochastic processes</topic>
  </subject>
  <classification authority="lcc">QA274.C56</classification>
  <identifier type="isbn">9780486497976</identifier>
  <identifier type="isbn">0486497976</identifier>
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    <recordCreationDate encoding="marc">120706</recordCreationDate>
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