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  <titleInfo>
    <title>An introduction to stochastic modeling</title>
  </titleInfo>
  <name type="personal">
    <namePart>Pinsky, Mark A.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  <name type="personal">
    <namePart>Karlin, Samuel</namePart>
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    <place>
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    <publisher>Elsevier</publisher>
    <dateIssued>2011</dateIssued>
    <edition>4th ed. </edition>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>x, 563 p.: ill.</extent>
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  <abstract>Introduces students to the standard concepts and methods of stochastic modeling, to illustrate the diversity of applications of stochastic processes in the applied sciences, and to provide exercises in the application of simple stochastic analysis to realistic problems.     </abstract>
  <tableOfContents>Contents: Introduction -- Conditional Probability and Conditional Expectation -- Markov Chains: Introduction -- The Long Run Behavior of Markov Chains -- Poisson Processes -- Continuous Time Markov Chains -- Renewal Phenomena -- Brownian Motion and Related Processes -- Queuing Systems -- Random Evolutions -- Characteristic Functions and Their Applications  </tableOfContents>
  <note type="statement of responsibility">Mark A. Pinsky, Samuel Karlin</note>
  <note>Includes index.</note>
  <classification authority="lcc">QA274.2.P65</classification>
  <identifier type="isbn">978023814166</identifier>
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