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Cerqueti, R, Maggi, M and Riccioni, J (2022). Statistical methods for decision support systems in finance: how Benford’s law predicts financial risk. Annals of Operations Research. DOI:10.1007/s10479-022-04742-z.
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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.
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Eutsler, J, Harris, MK, Williams, LT and Cornejo, OE (2023). Accounting for partisanship and politicization: Employing Benford's Law to examine misreporting of COVID-19 infection cases and deaths in the United States. Accounting, Organizations and Society, in press. DOI:10.1016/j.aos.2023.101455.
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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.
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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.
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Harb, E, Nasrallah, N, El Khoury, R and Hussainey, K (2022). Applying Benford’s Law to detect accounting data manipulation in the pre-and post-financial engineering periods: Evidence from Lebanon. Working Papers of LaRGE Research Center 2022-10, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
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Mills, RJ, Beaulieu, TY, Feldon, DF and Olsen, DH (2020). Implications of Prelecture Material on Cognitive Load and Instructional Effectiveness in Cross‐Disciplinary IS Education: The Nexus of Benford's Law and SQL. Decision Sciences Journal of Innovative Education 18, pp. 313-338. DOI:10.1111/dsji.12206.
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Morales, HR, Porporato, M and Epelbaum, N (2021). Benford’s law for integrity tests of high-volume databases: a case study of internal audit in a state-owned enterprise. Journal of Economics, Finance and Administrative Science. DOI:10.1108/JEFAS-07-2021-0113.
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Mörch, H and Hällgren, H (2022). Accounting manipulation - analyzing corporate subsidy recipients during the covid-19 pandemic. Masters thesis, Uppsala University, Sweden.
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Nigrini, MJ (2019). The patterns of the numbers used in occupational fraud schemes. Managerial Auditing Journal 34(5), pp. 606--626. DOI:10.1108/MAJ-11-2017-1717.
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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.
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Pavlović, V, Knežević, G, Joksimović, M and Joksimović, D (2019). Fraud Detection in Financial Statements Applying Benford's Law with Monte Carlo Simulation. Acta oeconomica 69(2), pp.217-239. DOI:10.1556/032.2019.69.2.4.
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Pizzi, S, Venturelli, A, Variale, M and Macro, GP (2021). Assessing the impacts of digital transformation on internal auditing: A bibliometric analysis. Technology in Society 67, p. 101738. DOI:10.1016/j.techsoc.2021.101738.
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Pröger, L, Griesberger, P, Hackländer, K, Brunner, N and Kühleitner, M (2021). Benford’s Law for Telemetry Data of Wildlife. Stats 4(4), pp. 943–949. DOI:10.3390/ stats4040055.
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Said, T and Mohammed, K (2020). Detection of anomaly in socio-economic databases, by Benford probability law. 2020 IEEE 6th International Conference on Optimization and Applications (ICOA), Beni Mellal, Morocco, 2020, pp. 1-4. DOI:10.1109/ICOA49421.2020.9094466.
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Silva, AdeA and Gouvêa, MA (2023). Study on the effect of sample size on type I error, in the first, second and first-two digits excessmad tests. International Journal of Accounting Information Systems 48, p. 100599. DOI:10.1016/j.accinf.2022.100599.
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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.
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Tošić, A and Vičič, J (2021). Use of Benford's law on academic publishing networks. Journal of Informetrics 15(3), 101163. DOI:10.1016/j.joi.2021.101163.
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Vičič, J and Tošić, A (2021). Application of Benford’s law on cryptocurrencies. Preprints 2021, 2021110472. DOI:10.20944/preprints202111.0472.v1.
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