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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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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 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
Kössler, W, Lenz, H-J and Wang, XD (2023). Some new invariant sum tests and MAD tests for the assessment of Benford's Law. Preprint on ResearchSquare. DOI:10.21203/rs.3.rs-3336839/v1. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Leemann, L and Bochsler, D (2014). A systematic approach to study electoral fraud. Electoral Studies, Vol. 35, Num. 0, pp. 33-47. ISSN/ISBN:0261-3794. DOI:10.1016/j.electstud.2014.03.005. 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 (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. View Complete Reference Online information Works that this work references No Bibliography works reference this work
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. View Complete Reference Online information Works that this work references Works that reference this work
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. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr (2013). Using Vote Counts’ Digits to Diagnose Strategies and Frauds: Russia. Prepared for presentation at the 2013 Annual Meeting of the American Political Science Asso- ciation, Chicago, August 29–September 1, 2013. View Complete Reference Online information Works that this work references Works that reference this work
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. View Complete Reference No online information available 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
Miller, SJ (ed.) (2015). Benford's Law: Theory and Applications. Princeton University Press: Princeton and Oxford. ISSN/ISBN:978-0-691-14761-1. View Complete Reference Online information Works that this work references Works that reference this work