Horton, J, Kumar, DK and Mercado, F (2023). Anticipating Corporate Misreporting: Leveraging the Slippery Slope Phenomenon and its Predictive Power. Preprint.
This work cites the following items of the Benford Online Bibliography:
Barney, BB and Schulzke, KS (2016). Moderating "Cry Wolf" events with excess MAD in Benford's law research and practice. J. Forensic Account. Res. 1 (1), A66–A90. DOI:10.2308/jfar-51622.
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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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Bhattacharya, S, Xu, D and Kumar, K (2010). An ANN-based auditor decision support system using Benford's Law. Decision support systems, 50 (3), pp. 576-584.
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Chakrabarthy, B, Moulton, PC, Pugachev, L and Wang, X (2019). Catch Me If You Can: Improving the Scope and Accuracy of Fraud Prediction. E-print available at SSRN: https://ssrn.com/abstract=3352667, March 13, 2019. DOI:10.2139/ssrn.3352667.
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Horton, J, Kumar, DK and Wood, A (2020). Detecting academic fraud using Benford law: The case of Professor James Hunton. Research Policy 49(8), 104084
. DOI:10.1016/j.respol.2020.104084.
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Johnson, GG and Weggenmann, J (2013). Exploratory Research Applying Benford’s Law to Selected Balances in the Financial Statements of State Governments. Academy of Accounting & Financial Studies Journal 17 (3), pp. 31-44.
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Nigrini, MJ (1996). A taxpayer compliance application of Benford’s law. Journal of the American Taxation Association 18(1), pp. 72-91.
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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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