This work is cited by the following items of the Benford Online Bibliography:
Brown, MS (2012). Does the Application of Benford's Law Reliably Identify Fraud on Election Day? . Masters thesis, Georgetown University. | ||||
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. | ||||
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. | ||||
Dang, CT and Owens, T (2019). Does transparency come at the cost of charitable services? Evidence from investigating British charities. CREDIT Research Paper 19/02; published (2020) in Journal of Economic Behavior & Organization 172, pp. 314–343. | ||||
dos Santos, J, Filho, JFR, Lagioia, U, Filho, BFA and Araújo, IJCD (2009). Applications of the Newcomb-Benford law in the tax audit of the service tax (ISS). Revista Contabilidade & Finanças 20(49), pp. 63-78. DOI:10.1590/S1519-70772009000100006. POR | ||||
Fu, Q, Villas-Boas, SB and Judge, G (2019). Does china income FSDs follow Benford? A comparison between Chinese income first significant digit distribution with Benford distribution. China Economic Journal 12(1), pp. 68-76. DOI:10.1080/17538963.2018.1477418. | ||||
Gámez, RAM and Rivera, CEA (2009). Ley de Benford y sus aplicaciones. Undergraduate Thesis, . SPA | ||||
Hofmacher, P and Hornik, K (2013). First Significant Digits and the Credit Derivative Market During the Financial Crisis. Contemporary Economics 7(2), pp. 21-29. DOI:10.5709/ce.1897-9254.80. | ||||
Hürlimann, W (2009). Generalizing Benford’s law using power laws: application to integer sequences. International Journal of Mathematics and Mathematical Sciences, Article ID 970284. DOI:10.1155/2009/970284. | ||||
Hürlimann, W (2015). Prime powers and generalized Benford law. Pioneer Journal of Algebra, Number Theory and its Applications 12/2015; 10(1-2):51-70. | ||||
Judge, G and Schechter, L (2009). Detecting problems in survey data using Benford’s law. J. Human Resources 44, pp. 1-24. DOI:10.3368/jhr.44.1.1. | ||||
Lee, J, Cho, WKT and Judge, G (2010). Stigler’s approach to recovering the distribution of first significant digits in natural data sets. Statistics and Probability Letters 80(2), pp. 82-88. DOI:10.1016/j.spl.2009.09.015. | ||||
Lee, J, Cho, WKT and Judge, GG (2009). Stigler’s approach to recovering the distribution of first significant digits in natural data sets. CUDARE Working Papers, Dept. of Agricultural and Resource Economics, UC Berkeley. | ||||
Lee, J and Judge, GC (2008). Identifying falsified clinical data. CUDARE working paper 1073, University of California, Berkeley. | ||||
Mebane, WR Jr (2007). Statistics for digits. 2007 Summer Meeting of the Political Methodology Society, Penn State University, University Park, PA. | ||||
Mebane, WR Jr (2007). Election Forensics: Statistics, Recounts and Fraud. Presented at the 2007 Annual Meeting of the Midwest Political Science Association, Chicago, IL, April 12–16. | ||||
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. | ||||
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. | ||||
Mebane, WR Jr (2011). Comment on “Benford's Law and the Detection of Election Fraud”. Political Analysis 19(3), pp. 269-272. DOI:10.1093/pan/mpr024. | ||||
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. | ||||
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. | ||||
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 | ||||
Mebane, WR Jr and Kalinin, K (2009). Comparative Election Fraud Detection. Presentation at APSA 2009 Toronto Meeting. | ||||
Miller, SJ (ed.) (2015). Benford's Law: Theory and Applications. Princeton University Press: Princeton and Oxford. ISSN/ISBN:978-0-691-14761-1. | ||||
Morrow, J (2010). Benford's Law, Families of Distributions and a Test Basis. E-print formerly published on www.johnmorrow.info; last accessed Mar 10, 2021. . | ||||
Morrow, J (2014). Benford’s Law, Families of Distributions and a Test Basis. Center for Economic Performance Discussion Paper No 1291. | ||||
Schechter, L (2006). Detecting Problems in Survey Data Using Benford's Law. Grant Proposal submitted to USDA (National Institute of Food & Agriculture). | ||||
Villas-Boas, S, Fu, Q and Judge, G (2015). Is Benford’s Law a Universal Behavioral Theory?. Econometrics 3(4), pp. 698–708. DOI:10.3390/econometrics3040698. | ||||
Villas-Boas, SB, Fu, Q and Judge, G (2017). Benford’s law and the FSD distribution of economic behavioral micro data . Physica A: Statistical Mechanics and its Applications Volume 486, pp. 711-719. DOI:10.1016/j.physa.2017.05.093. |