Agyemang, EF, Nortey, ENN, Minkah, R and AsahAsante, K (2023). The unfolding mystery of the numbers: First and second digits based comparative tests and its application to ghana’s elections. Model Assisted Statistics and Applications 18(2), pp. 183192. DOI:10.3233/MAS221418.





Breunig, C and Goerres, A (2011). Searching for Electoral Irregularities in an Established Democracy: Applying Benford’s Law Tests to Bundestag Elections in Unified Germany. Electoral Studies 30(3) September 2011, pp. 534545.





Cerasa, A (2022). Testing for Benford’s Law in very small samples: Simulation study and a new test proposal. PLoS ONE 17(7), pp. e0271969. DOI:10.1371/journal.pone.0271969.





Cho, WKT and Gaines, BJ (2007). Breaking the (Benford) law: Statistical fraud detection in campaign finance. American Statistician 61(3), pp. 218223. ISSN/ISBN:00031305. DOI:10.1198/000313007X223496.





Ciofalo, M (2009). Entropy, Benford’s first digit law, and the distribution of everything. Unpublished manuscript.





Cole, MA, Maddison, DJ and Zhang, L (2020). Testing the emission reduction claims of CDM projects using the Benford's Law. Climatic Change 160 (3), pp. 407–426. DOI:10.1007/s10584019025935.





Deckert, J, Myagkov, M and Ordeshook, PC (2011). Benford's Law and the Detection of Election Fraud. Political Analysis 19(3), pp. 245268. DOI:10.1093/pan/mpr014.





Janvresse, E and de la Rue, T (2004). From Uniform Distributions to Benford’s Law. Journal of Applied Probability 41(4), pp. 12031210. ISSN/ISBN:00219002.





Klimek, P, Yegorov, Y, Hanel, R and Thurner, S (2012). Statistical detection of systematic election irregularities. Proceedings of the National Academy of Science October 109(41), pp. 1646916473. DOI:10.1073/pnas.1210722109.





Koch, C and Okamura, K (2020). Benford's Law and COVID19 Reporting. Posted on SSRN April 28, 2020; last accessed November 17, 2020. Published in Econ Lett 2020;196(109973) .





Kossovsky, AE (2021). On the Mistaken Use of the ChiSquare Test in Benford’s Law. Stats 4(2), pp. 419–453. DOI:10.3390/stats4020027.





Lacasa, L and FernándezGracia, J (2019). Election Forensics: Quantitative methods for electoral fraud detection. Forensic Science International 294, pp. e19e22. DOI:10.1016/j.forsciint.2018.11.010.





Leemis, LM, Schmeiser, BW and Evans, DL (2000). Survival Distributions Satisfying Benford's Law. American Statistician 54(4), pp. 236241. ISSN/ISBN:00031305. DOI:10.2307/2685773.





Mebane, WR Jr (2006). Election Forensics: Vote Counts and Benford’s Law. Proceedings of the Summer Meeting of the Political Methodology Society, UCDavis, July, pp. 2022.





Mebane, WR Jr (2010). Fraud in the 2009 presidential election in Iran?. Chance 23(1), pp. 615. DOI:10.1080/09332480.2010.10739785.





Mebane, WR Jr (2011). Comment on “Benford's Law and the Detection of Election Fraud”. Political Analysis 19(3), pp. 269272. DOI:10.1093/pan/mpr024.





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.





Mebane, WR Jr (2020). Inappropriate Applications of Benford’s Law Regularities to Some Data from the 2020 Presidential Election in the United States. Unpublished manuscript, posted November 9, 2020; last accessed November 9, 2020.





Morzy, M, Kajdanowicz, T and Szymański, BK (2016). Benford’s Distribution in Complex Networks. Scientific Reports 6:34917. DOI:1038/srep34917.





Nigrini, MJ (2012). Benford's Law: Applications for Forensic Accounting, Auditing, and Fraud Detection . John Wiley & Sons: Hoboken, New Jersey. ISSN/ISBN:9781118152850. DOI:10.1002/9781119203094.





Nigrini, MJ and Miller, SJ (2009). Data Diagnostics Using SecondOrder Tests of Benford's Law. Auditing: A Journal of Practice & Theory 28(2), pp. 305324. DOI:10.2308/aud.2009.28.2.305
.





Nye, J and Moul, C (2007). The Political Economy of Numbers: On the Application of Benford's Law to International Macroeconomic Statistics. The BE Journal of Macroeconomics 7(1), pp. 114. DOI:10.2202/19351690.1449.





Pericchi, LR and Torres, DA (2011). Quick anomaly detection by the NewcombBenford law, with applications to electoral processes data from the USA, Puerto Rico and Venezuela. Statistical Science 26(4), pp. 50216. DOI:10.1214/09STS296.





Roukema, BF (2014). A firstdigit anomaly in the 2009 Iranian presidential election. Journal of Applied Statistics 41(1), pp. 164199. DOI:10.1080/02664763.2013.838664.





Shanaev, S, Shuraeva, A and Ghimire, B (2020). Detecting Anomalies in the 2020 US Presidential Election Votes with Benford’s Law. SSRN Scholarly Paper Nr. 3728626.





Tunmibi, S and Olatokun, W (2020). Application of digits based test to analyse presidential election data in Nigeria. Commonwealth & Comparative Politics 59(1), pp. 124. DOI:10.1080/14662043.2020.1834743.




