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  <titleInfo>
    <title>Reliability modelling with information measures</title>
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  <name type="personal">
    <namePart>Nair, N. Unnikrishnan</namePart>
    <namePart type="date">1945-</namePart>
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  <name type="personal">
    <namePart>Sunoj, S. M.</namePart>
    <namePart type="date">1972-</namePart>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Rajesh, G.</namePart>
    <namePart type="date">1971-</namePart>
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    <dateIssued encoding="marc">2022</dateIssued>
    <edition>First edition.</edition>
    <issuance>monographic</issuance>
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  <language>
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  <physicalDescription>
    <extent>1 online resource (1 volume)</extent>
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  <abstract>"This is the first book on this topic and has no competing works in literature. so that there may not be any market competition. The interface between Information Theory and Reliability is only two decades old and continues to be a fertile area for study and research. The topic has attracted several researchers from statistics, reliability and survival analysis, industry, communications and engineering. There is no single source for finding the literature spread over several journals and the book meets this demand. This book can be used as textbook for specialization in statistics and communication courses. It serves also as a self-contained reference volume"--</abstract>
  <note type="statement of responsibility">N. Unnikrishnan Nair, S. M. Sunoj, G. Rajesh, Department of Statistics, Cochin University of Science and Technology, Kerala, India.</note>
  <subject authority="lcsh">
    <topic>Reliability (Engineering)</topic>
    <topic>Statistical methods</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Service life (Engineering)</topic>
    <topic>Measurement</topic>
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    <topic>Fault location (Engineering)</topic>
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  <subject authority="bisacsh">
    <topic>MATHEMATICS / Probability &amp; Statistics / General</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>MATHEMATICS / Probability &amp; Statistics / Bayesian Analysis</topic>
  </subject>
  <classification authority="lcc">TA169 .N3526 2022eb</classification>
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