Davydov, D and Swidler, S (2016). Auditing Bank Financial Statements in Emerging Market Countries: The Use of the Benford Distribution. In: Risk Management in Emerging Markets, Emerald Group Publishing Limited, Boubaker, S., Buchanan, B. and Nguyen, D. (Eds.), pp. 187-200.
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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Carslaw, CAPN (1988). Anomalies in Income Numbers: Evidence of Goal Oriented Behavior. The Accounting Review 63(2), pp. 321-327.
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Davydov, D and Swidler, S (2016). Reading Russian Tea Leaves: Assessing the Quality of Bank Financial Statements with the Benford Distribution. Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(04), pp. 1-20. DOI:10.1142/S0219091516500211.
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Haynes, AH (2012). Detecting Fraud in Bankrupt Municipalities Using Benford's Law. Scripps Senior Theses. Paper 42, http://scholarship.claremont.edu/scripps_theses/42; last accessed November 12, 2014.
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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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Nigrini, MJ (2012). Benford's Law: Applications for Forensic Accounting, Auditing, and Fraud Detection . John Wiley & Sons: Hoboken, New Jersey. ISSN/ISBN:978-1-118-15285-0. DOI:10.1002/9781119203094.
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Nigrini, MJ and Mittermaier, LJ (1997). The use of Benford's Law as an aid in analytical procedures. Auditing - A Journal of Practice & Theory 16(2), 52-67. ISSN/ISBN:0278-0380.
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Pinkham, RS (1961). On the Distribution of First Significant Digits. Annals of Mathematical Statistics 32(4), pp. 1223-1230. ISSN/ISBN:0003-4851.
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