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  <titleInfo>
    <title>Stochastic processes</title>
    <subTitle>theory for applications</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Gallager, Robert G.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">enk</placeTerm>
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    <place>
      <placeTerm type="text">Cambridge</placeTerm>
    </place>
    <publisher>Cambridge University Press</publisher>
    <dateIssued>2013</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xx, 536 p : ill. ; 25 cm.</extent>
  </physicalDescription>
  <tableOfContents>Machine generated contents note: 1. Introduction and review of probability; 2. Poisson processes; 3. Gaussian random vectors and processes; 4. Finite-state Markov chains; 5. Renewal processes; 6. Countable-state Markov chains; 7. Markov processes with countable state spaces; 8. Detection, decisions, and hypothesis testing; 9. Random walks, large deviations, and martingales; 10. Estimation</tableOfContents>
  <targetAudience authority="marctarget">specialized</targetAudience>
  <note type="statement of responsibility">Robert G. Gallager</note>
  <note>Includes bibliographical references and index</note>
  <subject authority="lcsh">
    <topic>Stochastic processes</topic>
    <topic>Textbooks</topic>
  </subject>
  <identifier type="isbn">9781107039759 (hbk.)</identifier>
  <identifier type="isbn">1107039754 (hbk.)</identifier>
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    <recordCreationDate encoding="marc">131018</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251125093820.0</recordChangeDate>
    <recordIdentifier source="KUKTEM">vtls000075581</recordIdentifier>
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