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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| Dayaratna, KD (2024). Beyond the Ballot: A Survey of Statistical Methods for Uncovering Election Anomalies. The Heritage Foundation Issue Brief No. 5362. |
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| Jošić, H and Žmuk, B (2018). The Application of Benford’s Law in psychological pricing detection. Zbornik radova Ekonomskog fakulteta Sveučilišta u Mostaru, No. 24, pp. 37-57. |
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| Jošić, H and Žmuk, B (2021). Assessing the Quality of COVID-19 Data: Evidence from Newcomb-Benford Law. Facta Universitatis, in press. DOI:10.22190/FUEO210326008J. |
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| Özkan, K (2021). Benford Kanunu ve Genelleştirilmiş Benford Kanunu ile ekosistem doğallığının hesaplanması [Estimating ecosystem naturalness using Benford’s Law and Generalized Benford’s Law]. Turkish Journal of Forestry 22(2), pp. 73-82 . DOI:10.18182/tjf.907217. TUR |
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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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| Spichal, L (2021). Benfordův zákon. Unpublished manuscript. CZE |
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| Žmuk, B and Jošić, H (2021). Do countries diminish the number of new COVID-19 cases? A test using Benford’s law and uniform distribution. Proceedings of 3rd Conference titled "Economic System of the European Union and Accession of Bosnia and Herzegovina - Challenges and Policies Ahead", Mostar, Bosnia and Herzegovina, pp. 63-74. |
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