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Mebane, WR Jr (2007). Election Forensics: Statistics, Recounts and Fraud. Presented at the 2007 Annual Meeting of the Midwest Political Science Association, Chicago, IL, April 12–16.

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Anderson, KM, Dayaratna, K, Gonshorowski, D and Miller, SJ (2022). A New Benford Test for Clustered Data with Applications to American Elections. Stats 5(3), pp. 841–855. DOI:10.3390/stats5030049 . View Complete Reference Online information Works that this work references No Bibliography works reference this work
Badal-Valero, E, Alvarez-Jareño, JA and Pavía, JM (2018). Combining Benford's Law and machine learning to detect money laundering. An actual Spanish court case. Forensic Science International 282, pp. 24-34. DOI:10.1016/j.forsciint.2017.11.008. View Complete Reference Online information Works that this work references Works that reference this work
Brown, MS (2012). Does the Application of Benford's Law Reliably Identify Fraud on Election Day? . Masters thesis, Georgetown University. View Complete Reference Online information Works that this work references Works that reference this work
Castañeda, G (2011). La ley de Benford y su aplicabilidad en el análisis forense de resultados electorales [Benford’s Law and its Applicability in the Forensic Analysis of Electoral Results]. Política y gobierno 18(2), pp. 297-329. SPA View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr and Kalinin, K (2009). Electoral Falsification in Russia: Complex Diagnostics Selections 2003-2004, 2007-2008 [Russian] . Russian Electoral Review REO 2/09, pp. 57–70 . RUS View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr and Kalinin, K (2009). Comparative Election Fraud Detection. Presentation at APSA 2009 Toronto Meeting. View Complete Reference Online information Works that this work references Works that reference this work