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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Kim, H (2019). Financial Statements Errors in Japanese Firms : Using a Benfordʼs Law. The Journal of Tokyo Keizai University: Business 302, pp. 19-42. JPN | ![]() |
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Miller, SJ (ed.) (2015). Benford's Law: Theory and Applications. Princeton University Press: Princeton and Oxford. ISSN/ISBN:978-0-691-14761-1. | ![]() |
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Othman, R, Ameer, R and Laswad, F (2019). Forensic Auditing Tools in Detecting Financial Statements' Irregularities: Benford's Law and Beneish Model in the Case of Toshiba. In: R. Marques, C. Santos, & H. Inácio (Eds.), Organizational Auditing and Assurance in the Digital Age, Hershey, PA: IGI Global, Chapter 13, pp. 256-275. DOI:10.4018/978-1-5225-7356-2.ch013. | ![]() |
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Rad, M, Amiri, A, Ranjbar, MH and Salari, H (2021). Predictability of financial statements fraud-risk using Benford’s Law. Cogent Economics & Finance 9(1), p. 1889756 . DOI:10.1080/23322039.2021.1889756. | ![]() |
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Shalaby, AHM and Al-Harkan, AAM (2022). The awareness of judicial accounting techniques towards the expectations of the external auditor in detecting fraud and its impact on the performance. Accounting 8, pp. 345–354. DOI:10.5267/j.ac.2021.10.003. | ![]() |
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