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Mebane, WR Jr (2008). Election Forensics: Outlier and Digit Tests in America and Russia. Prepared for presentation at The American Electoral Process conference, Center for the Study of Democratic Politics, Princeton University, May 1-3, 2008.

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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
Cantu, F and Saiegh, SM (2010). A Supervised Machine Learning Procedure to Detect Electoral Fraud Using Digital Analysis. Preprint posted on SSRN; last accessed August 5, 2021. DOI:10.2139/ssrn.1594406. View Complete Reference Online information Works that this work references Works that reference this work
Cantu, F and Saiegh, SM (2011). Fraudulent Democracy? An Analysis of Argentina’s Infamous Decade Using Supervised Machine Learning. Political Analysis 19 (4), pp. 409-433. DOI:10.1093/pan/mpr033. 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
Mack, V (2016). The Fingerprints of Fraud: An In-depth Study of Election Forensics with Digit Tests. PhD Thesis, Universitat Konstanz. 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
Medzihorsky, J (2015). Election Fraud: A Latent Class Framework for Digit-Based Tests. Political Analysis 23(4), pp. 506-517. DOI:10.1093/pan/mpv021. View Complete Reference Online information Works that this work references Works that reference this work