Singh, N and Amat, O (2020). Detecting accounting fraud using quantitative techniques. University Pompeu Fabra Barcelona, Dept. of Economics and Business, Economics Working Paper Series Working Paper No. 1738.
This work cites the following items of the Benford Online Bibliography:
Benford, F (1938). The law of anomalous numbers. Proceedings of the American Philosophical Society, Vol. 78, No. 4 (Mar. 31, 1938), pp. 551-572.
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Durtschi, C, Hillison, W and Pacini, C (2004). The effective use of Benford’s law to assist in detecting fraud in accounting data. Journal of Forensic Accounting 1524-5586/Vol. V, pp. 17-34.
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Henselmann, K, Scherr, E and Ditter, D (2013). Applying Benford's Law to individual financial reports: An empirical investigation on the basis of SEC XBRL filings. Working Papers in Accounting Valuation Auditing, No. 2012-1 [rev.].
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Nigrini, MJ (2011). Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations. John Wiley & Sons: Hoboken, New Jersey; (2nd edition published in 2020, isbn 978-1-119-58576-3). ISSN/ISBN:978-0-470-89046-2.
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