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  <titleInfo>
    <title>Stochastic models in operations research</title>
  </titleInfo>
  <name type="personal">
    <namePart>Heyman, Daniel P.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Sobel, Matthew J.</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>McGraw-Hill</publisher>
    <dateIssued>c1982-c1984</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <physicalDescription>
    <extent>2 v. : ill. ; 25 cm.</extent>
  </physicalDescription>
  <tableOfContents>v. 1. Stochastic processes and operating characteristics -- v. 2. Stochastic optimization.</tableOfContents>
  <note type="statement of responsibility">Daniel P. Heyman, Matthew J. Sobel.</note>
  <note>Includes bibliographies and indexes.</note>
  <subject authority="lcsh">
    <topic>Operations research</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Stochastic processes</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Stochastic programming</topic>
  </subject>
  <classification authority="lcc">T57.6 .H49 1982</classification>
  <classification authority="ddc" edition="19">001.4/24</classification>
  <relatedItem type="series">
    <titleInfo>
      <title>McGraw-Hill series in quantitative methods for management</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">0070286310 (v. 1)</identifier>
  <identifier type="isbn">0070286329 (v. 2)</identifier>
  <identifier type="lccn">81014322</identifier>
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    <recordIdentifier>4679355</recordIdentifier>
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