Simkin, MG (2010). Using Spreadsheets and Benford’s Law to Test Accounting Data. ISACA Journal, Volume 1.
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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Browne, MW (1998). Following Benford’s law, or looking out for no. 1. The New York Times, August 4, 1998.
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Cleary, R and Thibodeau, JC (2005). Applying Digital Analysis Using Benford‘s Law to Detect Fraud: The Dangers of Type I Errors. Auditing - A Journal of Practice & Theory 24(1), pp. 77-81. ISSN/ISBN:0278-0380. DOI:10.2308/aud.2005.24.1.77.
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Hill, TP (1998). The First-Digit Phenomenon. American Scientist 86 (4), pp. 358-363. ISSN/ISBN:0003-0996. DOI:10.1511/1998.4.358.
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Johnson, P (2005). Fraud Detection with Benford's Law. Accountancy Ireland, 37, pp. 16-17.
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Nigrini, MJ (1999). I’ve got your number. Journal of Accountancy 187(5), pp. 79-83.
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Rodriguez, RJ (2004). Reducing False Alarms in the Detection of Human Influence on Data. Journal of Accounting, Auditing & Finance 19(2), pp. 141-158. DOI:10.1177/0148558X0401900202.
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Rose, AM and Rose, JM (2003). Turn Excel into a financial sleuth: an easy-to-use digital analysis tool can red-flag irregularities. Journal of Accountancy 196(2), pp. 58-60.
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Stone, A (2003). Using Software to Sniff Out Fraud. Bloomberg Business Online, September 29, 2003. Last accessed September 30, 2015.
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Williamson, D (2004). Vital Statistics. Accountancy Magazine Vol. 133 Issue 1327, pp. 108-110
. ISSN/ISBN:00014664.
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