This work is cited by the following items of the Benford Online Bibliography:
Branets, S (2019). Detecting money laundering with Benford’s law and machine learning . Masters Thesis, University of Tartu. | ![]() |
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Cong, M, Li, C and Ma, BQ (2019). First digit law from Laplace transform. Phys. Lett. A, 383(16), pp. 1836-1844. DOI:10.1016/j.physleta.2019.03.017 . | ![]() |
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Le, T and Lobo, GJ (2020). Audit Quality Inputs and Financial Statement Conformity to Benford’s Law. Journal of Accounting, Auditing & Finance. DOI:10.1177/0148558X20930467. | ![]() |
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Máté, D, Sadaf, R, Tarnóczi, T and Fenyves, V (2017). Fraud Detection by Testing the Conformity to Benford’s Law in the Case of Wholesale Enterprises. Polish Journal Of Management Studies, 16(1), pp.115-126. DOI:10.17512/pjms.2017.16.1.10 . | ![]() |
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Nguyen, TT (2019). Three essays on earnings quality. PhD Thesis, University of East London. DOI:10.15123/uel.86yq8. | ![]() |
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Nigrini, MJ (2016). The Implications of the Similarity between Fraud Numbers and the Numbers in Financial Accounting Textbooks and Test Banks. Journal of Forensic Accounting Research, Vol. 1, No. 1, pp. A1-A26. DOI:10.2308/jfar-51465. | ![]() |
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Radiah, O and Ameer, R (2020). Benford Law and Earnings Analysis: International Comparison. Ch. 18 in: Handbook of Research on Accounting and Financial Studies, L. Farinha, A. Baltazar Cruz and J.R. Sebastião, IGI Global: Hershey, PA, pp. 381-404 . ISSN/ISBN:9781799821366. DOI:10.4018/978-1-7998-2136-6.ch018. | ![]() |
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Sadaf, R (2017). Advanced Statistical Techniques For Testing Benford'S Law. Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pp. 229-238. | ![]() |
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Yücel, R and Özevin, O (2016). The Application Of Benford Analysis On Balance Sheet Items Of Companies Traded In Bist. Papers On Social Science 2016, pp. 83-97. TUR | ![]() |
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