This work is cited by the following items of the Benford Online Bibliography:
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. | ![]() |
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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. | ![]() |
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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 | ![]() |
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Fonseca, PMT da (2016). Digit analysis using Benford's Law: A Bayesian approach. Masters Thesis, ISEG - Instituto Superior de Economia e Gestão, Lisbon School of Economics & Management, Portugal. | ![]() |
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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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Jasak, Z (2017). Sum invariance testing and some new properties of Benford's law. Doctorial Dissertation, University of Tuzla, Bosnia and Herzegovina. | ![]() |
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Mebane, WR Jr (2007). Election Forensics: Statistical Interventions in Election Controversies. Prepared for presentation at the 2007 Annual Meeting of the American Political Science Association, Chicago, August 30–Sept 2. | ![]() |
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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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Mebane, WR Jr (2010). Election Fraud or Strategic Voting? Can Second-digit Tests Tell the Difference?. Prepared for Presentation at the 2010 Summer Meeting of the Political Methodology Society. University of Iowa. | ![]() |
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Mebane, WR Jr (2012). Second-digit Tests for Voters’ Election Strategies and Election Fraud. Prepared for presentation at the 2012 Annual Meeting of the Midwest Political Science Association, Chicago, April 12–15; last accessed Apr 11, 2019. | ![]() |
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Pericchi, LR and Torres, DA (2011). Quick anomaly detection by the Newcomb-Benford law, with applications to electoral processes data from the USA, Puerto Rico and Venezuela. Statistical Science 26(4), pp. 502-16. DOI:10.1214/09-STS296. | ![]() |
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