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    <nonSort>The </nonSort>
    <title>EM algorithm and extensions (E Book)</title>
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  <name type="personal">
    <namePart>McLachlan, Geoffrey J.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  </name>
  <name type="personal">
    <namePart>Krishnan, T.</namePart>
    <namePart type="date">1938-</namePart>
  </name>
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      <placeTerm type="text">Hoboken, N.J</placeTerm>
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    <publisher>Wiley-Interscience</publisher>
    <dateIssued>c2008</dateIssued>
    <edition>2nd ed.</edition>
    <issuance/>
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  <physicalDescription>
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    <extent>1 online resource (xxvii, 359 p.) : ill.</extent>
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  <abstract>This new edition remains the only single source to offer a complete and unified treatment of the theory, methodology, and applications of the EM algorithm. The highly applied area of statistics here outlined involves applications in regression, medical im.</abstract>
  <tableOfContents>Examples of the EM algorithm -- Basic theory of the EM algorithm -- Standard errors and speeding up convergence -- Extensions of the EM algorithm -- Monte Carlo versions of the EM algorithm -- Some generalizations of the EM algorithm -- Further applications of the EM algorithm.</tableOfContents>
  <note type="statement of responsibility">Geoffrey J. McLachlan, Thriyambakam Krishnan.</note>
  <subject authority="lcsh">
    <topic>Estimation theory</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Expectation-maximization algorithms</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Iteration</topic>
  </subject>
  <subject authority="lcsh">
    <topic>MATHEMATICS</topic>
    <topic>Probability &amp; Statistics</topic>
    <topic>General</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Maximum-Likelihood-Sch�tzung</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Missing observations (Statistics)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Unvollkommene Information</topic>
  </subject>
  <classification authority="ddc">519.5/44</classification>
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      <title>Wiley series in probability and statistics</title>
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