Mebane, WR Jr and Kalinin, K (2010). Electoral Fraud in Russia: Vote Counts Analysis using Second-digit Mean Tests. Presentation at the 2010 Annual Meeting of the Midwest Political Science Association, Chicago, IL, April 22–25.
This work is cited by the following items of the Benford Online Bibliography:
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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 .
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Brown, MS (2012). Does the Application of Benford's Law Reliably Identify Fraud on Election Day? . Masters thesis, Georgetown University.
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Filho, DF, Silva, L and Carvalhoa, E (2022). The forensics of fraud: Evidence from the 2018 Brazilian presidential election. Forensic Science International: Synergy, p. 100286. ISSN/ISBN:2589-871X. DOI:10.1016/j.fsisyn.2022.100286.
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Hussein, A (2019). An evaluation of last digit-based test as a tool for electoral fraud detection. Bachelor Thesis in Statistics, University of Gothenburg.
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Mebane, WR Jr (2010). Memo on second-digit tests done on precinct counts for Democratic Senate primary in South Carolina, 2010. Technical Report, University of Michigan, Ann Arbor, MI, USA, June 12.
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Mebane, WR Jr (2013). Election Forensics: The Meanings of Precinct Vote Counts’ Second Digits. Prepared for presentation at the 2013 Summer Meeting of the Political Methodology Society, University of Virginia, July 18–20.
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