This work is cited by the following items of the Benford Online Bibliography:
Akkaş, ME (2007). Denetimde Benford Kanununun Uygulanmasi (Application of Benford's Law in Audit). Gazi Universitesi Iktisadi ve Idari Bilimler Fakultesi Dergisi, vol.9, no.1, pp. 191-206. TUR | ||||
Beber, B and Scacco, A (2008). What the Numbers Say: A Digit-Based Test for Election Fraud Using New Data from Nigeria. Presented at the Annual Meeting of the American Political Science Association. Boston, MA August 28– 31. | ||||
Beber, B and Scacco, A (2012). What the Numbers Say: A Digit-Based Test for Election Fraud. Political Analysis 20 (2), pp. 211-234. DOI:10.1093/pan/mps003. | ||||
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. | ||||
Costa, JI (2012). Desenvolvimento de metodologias contabilométricas aplicadas a auditoria contábil digital: uma proposta de análise da lei de Newcomb-Benford para os Tribunais de Contas. Thesis, Universidade Federal de Pernambuco, Recife, Brasil. POR | ||||
Datta, D and Banks, D (2021). Was There Any Widespread Fraud in 2020 Presidential Election? What does Benford's Law say?. Journal of Student Research (High School Edition) 10(3), pp. . ISSN/ISBN:2167-1907. DOI:10.47611/jsrhs.v10i3.1848. | ||||
Deleanu, IS (2017). Do Countries Consistently Engage in Misinforming the International Community about Their Efforts to Combat Money Laundering? Evidence Using Benford's Law. PLoS One 12(1), p. e0169632. DOI:10.1371/journal.pone.0169632. | ||||
DeMatteis, JM, Young, LJ, Dahlhamer, J, Langley, RE, Murphy, J, Olson, K and Sharma, S (2020). Falsification in Surveys. Tech Report prepared for AAPOR Council and the Executive Committee of the American Statistical Association by the members of the Task Force on Data Falsification. | ||||
Gámez, RAM and Rivera, CEA (2009). Ley de Benford y sus aplicaciones. Undergraduate Thesis, . SPA | ||||
Horton, J, Kumar, DK and Wood, A (2020). Detecting academic fraud using Benford law: The case of Professor James Hunton. Research Policy 49(8), 104084 . DOI:10.1016/j.respol.2020.104084. | ||||
Pérez-González, F, Heileman, G and Abdallah, CT (2007). A generalization of Benford’s Law and its application to images. European Control Conference’2007, Kos, Greece, July 2007, pp. 3613 - 3619. ISSN/ISBN:9783952417386. | ||||
Rosmansyah, Y, Santoso, I, Hardi, AB, Putri, A and Sutikno, S (2019). Detection of Interviewer Falsification in Statistics Indonesia’s Mobile Survey. International Journal on Electrical Engineering and Informatics 11(3), pp. 474-484. | ||||
Schäfer, C, Bömermann, H, Nauenburg, R, Wenzel, K, Müller, KR and Wagner, GG (2006). Qualitätssicherung des Faktors Interviewer für den Mikrozensus. pp 209-216 in: Kehlenbach, J, Rockmann, U (eds.): Amtliche Mikrodaten für die Sozial- und Wirtschaftswissenschaften, Forschungsdatenzentrum der Statistischen Landesämter: Beiträge zu den Nutzerkonferenzen des FDZ der Statistischen Landesämter 2005. GER | ||||
Wroński, K (2012). Zastosowanie Rozkładu Benforda do Analizy Plików Dźwiękowych [Benford Distribution Application to the Analysis of Sound File] . Bachelor Thesis, Krakow Academy, Faculty of Economics and Management. POL |