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  <titleInfo>
    <title>Forensic analytics</title>
    <subTitle>methods and techniques for forensic accounting investigations</subTitle>
  </titleInfo>
  <titleInfo type="abbreviated">
    <title>Forensic analytics</title>
  </titleInfo>
  <name type="personal">
    <namePart>Nigrini, Mark J. (Mark John)</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">nju</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Hoboken, N.J</placeTerm>
    </place>
    <publisher>Wiley</publisher>
    <dateIssued>c2011</dateIssued>
    <dateIssued encoding="marc">2011</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">electronic</form>
    <extent>xvi, 458 p. :  25 cm. </extent>
  </physicalDescription>
  <abstract>"The book will review and discuss (with Access and Excel examples) the methods and techniques that investigators can use to uncover anomalies in corporate and public sector data.  These anomalies would include errors, biases, duplicates, number rounding, and omissions.  The focus will be the detection of fraud, intentional errors, and unintentional errors using data analytics.  Despite the quantitative and computing bias, the book will still be interesting to read with interesting vignettes and illustrations.  Most chapters will be understandable by accountants and auditors that usually are lacking in the rigors of mathematics and statistics. The data interrogation methods are based on (a) known statistical techniques, and (b) the author's own published research in the field"--</abstract>
  <note type="statement of responsibility">Mark Nigrini.</note>
  <note>Includes bibliographical references (p. 455- 458) and index.</note>
  <note>License restrictions may limit access.</note>
  <subject authority="lcsh">
    <topic>Forensic accounting</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Fraud</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Misleading financial statements</topic>
  </subject>
  <classification authority="lcc">HV6768 .N54 2011</classification>
  <classification authority="ddc" edition="22">363.25963 NIF</classification>
  <classification authority="bisacsh">BUS003000</classification>
  <relatedItem type="host">
    <titleInfo>
      <title>Wiley-Blackwell Online Books - All Titles</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">9780470890462</identifier>
  <identifier type="uri">http://www.columbia.edu/cgi-bin/cul/resolve?clio9517554</identifier>
  <location>
    <url>http://www.columbia.edu/cgi-bin/cul/resolve?clio9517554</url>
  </location>
  <accessCondition type="restrictionOnAccess">License restrictions may limit access.</accessCondition>
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    <recordCreationDate encoding="marc">110224</recordCreationDate>
    <recordChangeDate encoding="iso8601">20160602173633.0</recordChangeDate>
    <recordIdentifier source="BD-DhUL">9517554</recordIdentifier>
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