000 | 02053cam a2200361 a 4500 | ||
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001 | 9517554 | ||
003 | BD-DhUL | ||
005 | 20160602173633.0 | ||
006 | m d | ||
007 | cr n | ||
008 | 110224s2011 njua sb 001 0 eng d | ||
020 | _a9780470890462 | ||
035 | _a(WaSeSS)ssj0000536783 | ||
040 |
_aDLC _cDLC _dDLC _dWaSeSS _dBD-DhUL |
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042 | _apcc | ||
050 | 4 |
_aHV6768 _b.N54 2011 |
|
082 | 0 | 0 |
_a363.25963 _222 _bNIF |
084 |
_aBUS003000 _2bisacsh |
||
100 | 1 |
_aNigrini, Mark J. _q(Mark John) |
|
210 | 1 | 0 | _aForensic analytics |
245 | 1 | 0 |
_aForensic analytics : _bmethods and techniques for forensic accounting investigations / _cMark Nigrini. |
260 |
_aHoboken, N.J. : _bWiley, _cc2011. |
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300 |
_axvi, 458 p. : _c25 cm. |
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504 | _aIncludes bibliographical references (p. 455- 458) and index. | ||
506 | _aLicense restrictions may limit access. | ||
520 |
_a"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"-- _cProvided by publisher. |
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650 | 0 | _aForensic accounting. | |
650 | 0 | _aFraud. | |
650 | 0 | _aMisleading financial statements. | |
773 | 0 | _tWiley-Blackwell Online Books - All Titles | |
856 | 4 | 0 |
_uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio9517554 _zFull text available from Wiley-Blackwell Online Books - All Titles |
942 |
_2ddc _cBK |
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999 |
_c75898 _d75898 |