Forensic analytics : methods and techniques for forensic accounting investigations / Mark Nigrini.
Material type:
TextPublication details: Hoboken, N.J. : Wiley, c2011Description: xvi, 463 p. : ill. ; 26 cmISBN: 9780470890462 (hbk.)Subject(s): Forensic accounting | Fraud | Misleading financial statementsDDC classification: 363.25963 LOC classification: HV6768 | .N54 2011Summary: "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"--
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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General Circulation
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APU Library Open Shelf | Book | HV6768 .N54 2011 c.1 (Browse shelf (Opens below)) | 1 | Available (No use restrictions) | 00002665 | |
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General Circulation
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APU Library Open Shelf | Book | HV6768 .N54 2011 c.2 (Browse shelf (Opens below)) | 2 | Available (No use restrictions) | 00014395 |
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| HV6691 .F73 2012 c.3 Fraud examination / | HV6691 .O33 2004 c.1 Corporate fraud : | HV6691 .O33 2004 c.2 Corporate fraud : | HV6768 .N54 2011 c.1 Forensic analytics : | HV6768 .N54 2011 c.2 Forensic analytics : | HV6769 .D67 2012 c.1 Financial forensics body of knowledge / | HV6769 .D67 2012 c.2 Financial forensics body of knowledge / |
Includes bibliographical references (p. 455- 458) and index.
"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"--
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