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Boyle, J (1994). An Application of Fourier Series to the Most Significant Digit Problem. American Mathematical Monthly 101(9), pp. 879-886. ISSN/ISBN:0002-9890. DOI:10.2307/2975136.
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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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Hill, TP (1995). A Statistical Derivation of the Significant-Digit Law. Statistical Science 10(4), pp. 354-363. ISSN/ISBN:0883-4237.
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Huang, SM, Yen, DC, Yang, LW and Hua, JS (2008). An investigation of Zipf's Law for fraud detection. Decision Support Systems 46(1), pp. 70-83. DOI:10.1016/j.dss.2008.05.003.
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Lanza, RB (2000). Using Digital Analysis To Detect Fraud: Review of the DATAS Statistical Analysis Tool. Journal of Forensic Accounting 1, pp. 291-296. ISSN/ISBN:1524-5586.
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Nigrini, MJ (1999). I’ve got your number. Journal of Accountancy 187(5), pp. 79-83.
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Tao, T (2009). Benford’s law, Zipf’s law, and the Pareto distribution
. Terence Tao's math blog site.
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