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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.

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Cerqueti, R and Lupi, C (2022). Severe testing of Benford’s law. Preprint arXiv:2202.05237 [stat.ME]; last accessed February 21, 2022. View Complete Reference Online information Works that this work references No Bibliography works reference this work
da Silva, CG and Carreira, PMR (2019). Estimating the Proportion of Misstated Records in an Audit Data set using Benford’s Law. Journal of Accounting, Finance and Auditing Studies 5(2), pp. 146-162. DOI:10.32602/jafas.2019.25. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Druica, E, Oancea, B and Valsan, C (2018). Benford's law and the limits of digit analysis. International Journal of Accounting Information Systems 31, pp. 75–82. DOI:10.1016/j.accinf.2018.09.004. View Complete Reference Online information Works that this work references Works that reference this work
González, F (2019). Detecting Anomalous Data in Household Surveys: Evidence for Argentina. Journal of Social and Economic Statistics 8(2), pp. 1-10. DOI:10.2478/jses-2019-0001. View Complete Reference Online information Works that this work references No Bibliography works reference this work
González, F (2020). Self-reported income data: are people telling the truth?. To appear in Journal of Financial Crime. DOI:10.1108/JFC-08-2019-0113. View Complete Reference Online information Works that this work references Works that reference this work
Mahasuar, K (2021). Lies, damned lies, and statistics: The uncertainty over COVID-19 numbers in India. Knowledge and Process Management, pp. 1– 8. DOI:10.1002/kpm.1685. View Complete Reference Online information Works that this work references No Bibliography works reference this work
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. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Parnes, D (2022). Banks’ Off-Balance Sheet Manipulations. Quarterly Review of Economics and Finance. DOI:10.1016/j.qref.2022.07.011. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Patel, PC, Tsionas, MG and Guedes, MJ (2022). Benford's law, small business financial reporting, and survival. Managerial and Decision Economics. DOI:10.1002/mde.3595. View Complete Reference Online information Works that this work references Works that reference this work
Qu, H, Steinberg, R and Burger, R (2020). Abiding by the Law? Using Benford's Law to Examine the Accuracy of Nonprofit Financial Reports. Nonprofit and Voluntary Sector Quarterly 49(3), pp. 548-570. DOI:10.1177/0899764019881510. View Complete Reference Online information Works that this work references Works that reference this work
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. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Theodoro, R, Bonarim, CAG and Costa, DRdM (2021). Identifying Discretionary Actions Taken by Managers in Credit Unions: An Application of Benford's Law. Journal of Accounting, Management and Governance 24(3), pp. 331-348. DOI:10.51341/1984-3925_2021v24n3a5. View Complete Reference Online information Works that this work references Works that reference this work
Wang, D, Chen, F, Mao, J, Liu, N and Rong, F (2022). Are the official national data credible? Empirical evidence from statistics quality evaluation of China's coal and its downstream industries . Energy Economics, p. 106310. DOI:10.1016/j.eneco.2022.106310. View Complete Reference Online information Works that this work references No Bibliography works reference this work