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Busta, B and Weinberg, R (1998). Using Benford’s law and neural networks as a review procedure. Managerial Auditing Journal 13(6), pp. 356-366.

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Albrecht, CC (2008). Fraud and forensic accounting in a digital environment. White Paper for The Institute for Fraud Prevention, Brigham Young University. View Complete Reference Online information Works that this work references Works that reference this work
Aris, NA, Othman, R, Bukhori, MAM, Arif, SMM and Malek, MAA (2017). Detecting Accounting Anomalies Using Benford’s Law: Evidence from the Malaysian Public Sector. Management & Accounting Review 16(2), pp. 73-100. View Complete Reference Online information Works that this work references Works that reference this work
Bhattacharya, S, Kumar, K and Smarandache, F (2005). Conditional probability of actually detecting a financial fraud – a neutrosophic extension to Benford’s law. International Journal of Applied Mathematics 17(1), pp. 7-14. View Complete Reference Online information Works that this work references Works that reference this work
Bhattacharya, S, Xu, D and Kumar, K (2010). An ANN-based auditor decision support system using Benford's Law. Decision support systems, 50 (3), pp. 576-584. View Complete Reference Online information Works that this work references Works that reference this work
Bhole, G, Shukla, A and Mahesh, TS (2014). Benford distributions in NMR. Preprint arXiv:1406.7077 [physics.data-an]; last accessed June 7, 2018. View Complete Reference Online information Works that this work references Works that reference this work
Bhole, G, Shukla, A and Mahesh, TS (2015). Benford analysis: A useful paradigm for spectroscopic analysis. Chemical Physics Letters 639, pp. 36–40. DOI:10.1016/j.cplett.2015.08.061. View Complete Reference Online information Works that this work references Works that reference this work
Bugarin, MS and da Cunha, FCR (2017). Lei de Benford aplicada à auditoria da reforma do Aeroporto Internacional de Minas Gerais. Revista Do Serviço Público 68(4), pp. 915-940. DOI:10.21874/rsp.v68i4.1567. POR View Complete Reference Online information Works that this work references Works that reference this work
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. View Complete Reference Online information Works that this work references Works that reference this work
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. View Complete Reference Online information Works that this work references Works that reference this work
Ceccato, F and Bugarin, M (2017). Lei de Benford Aplicada À Auditoria da Reforma do Aeroporto Internacional de Minas Gerais [Benford's Law Applied to the Audit of the Renovation of the Minas Gerais International Airport]. Revista do Serviço Público. POR View Complete Reference Online information Works that this work references No Bibliography works reference this work
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 View Complete Reference Online information Works that this work references Works that reference this work
Costa, JI, Henriques, DBB, Melo, S and dos Santos, J (2012). Análise de métodos contabilométricos para determinação de conformidade da Lei Newcomb-Benford aplicados à auditoria contábil. [An analysis of Benford’s law conformity contabilometric methods applied to audit accounting] . Revista Gestão Pública: Práticas e Desafios, Recife, v. III, n. 6, pp. 292-314. POR View Complete Reference Online information Works that this work references Works that reference this work
da Cunha, FCR (2013). Aplicações da lei Newcomb-Benford à auditoria de obras públicas [Applications of the Newcomb-Benford Law on Audit of Public Works]. Masters Thesis, University of Brasilia. POR View Complete Reference Online information Works that this work references Works that reference this work
da Silva, ASCD (2013). The application of Benford’s Law in detecting accounting fraud in the Financial Sector. Masters Thesis, Lisboa School of Economics & Management. View Complete Reference Online information Works that this work references Works that reference this work
Ergin, E and Erturan, IE (2020). Is Benford’s Law Effective in Fraud Detection for Expense Cycle? . Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi 42(2), pp. 316–326. DOI:10.14780.muiibd.854444. View Complete Reference Online information Works that this work references Works that reference this work
Galati, L (2020). Do Municipally Owned Utilities Round Earnings Before Elections? An Application of the Benford's Law. Unpublished Master's Dissertation, University of Molise. DOI:10.13140/RG.2.2.36384.51204. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Gepp, A, Kumar, K and Bhattacharya, S (2023). Taking the hunch out of the crunch: A framework to improve variable selection in models to detect financial statement fraud. Accounting & Finance 2023, pp.1–20.. DOI:10.1111/acfi.13192 . View Complete Reference Online information Works that this work references No Bibliography works reference this work
Geyer, CL and Williamson, PP (2004). Detecting Fraud in Data Sets Using Benford's Law. Communications in Statistics: Simulation and Computation 33(1), pp. 229-246. ISSN/ISBN:0361-0918. DOI:10.1081/SAC-120028442. View Complete Reference Online information Works that this work references Works that reference this work
Graham, SDJ, Hasseldine, J and Paton, D (2009). Statistical fraud detection in a commercial lobster fishery. New Zealand Journal of Marine and Freshwater Research Volume 43, Issue 1, pp. 457-463. DOI:10.1080/00288330909510014. View Complete Reference Online information Works that this work references Works that reference this work
Hasan, B (2003). Examining data accuracy and authenticity with leading digit frequency analysis. Industrial Management & Data Systems 103(1-2), pp. 121-125. ISSN/ISBN:0263-5577. DOI:10.1108/02635570310463447. View Complete Reference Online information Works that this work references Works that reference this work
Hickman, MJ and Rice, SK (2010). Digital Analysis of Crime Statistics: Does Crime Conform to Benford’s Law?. Journal of Quantitative Criminology 26(3), pp. 333-349. ISSN/ISBN:1573-7799. DOI:10.1007/s10940-010-9094-6. View Complete Reference Online information Works that this work references Works that reference this work
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. View Complete Reference Online information Works that this work references Works that reference this work
Hussain, SA (2010). The Application of Benford's Law in Forensic Accounting: An Analysis of Credit Bureau Data. Available at SSRN 1626696; last accessed Mar 10, 2021. DOI:10.2139/ssrn.1626696. View Complete Reference Online information Works that this work references Works that reference this work
Jasak, Z (2010). Benfordov zakon i reinforcement učenje (Benford's Law and reinforcment learning) . MSc Thesis, University of Tuzla, Bosnia. SRP View Complete Reference Online information Works that this work references Works that reference this work
Johnson, GG (2005). Financial Sleuthing Using Benford's Law to Analyze Quarterly Data with Various Industry Profiles. Journal of Forensic Accounting 6(2), pp. 293-316. View Complete Reference Online information Works that this work references Works that reference this work
Khoshnevisan, M and Bhattacharya, S (2002). A short note on financial data set detection using neutrosophic probability. pp 74-79 in: Smarandache, F (ed), Proceedings of the first international conference on neutrosophy, neutrosophic logic, neutrosophic set, neutrosophic probability and statistics, University of New Mexico - Gallup, Dec 2001. View Complete Reference Online information Works that this work references Works that reference this work
Köse, E and Özdemir, M (2019). Muhasebe Denetiminde Benford Kanunu ve Ölçekten Bağımsızlık Yönteminin Test Edilmesi [Testing of Benford's Law and Non-Scale Method in Auditing]. Kırklareli University Journal of Social Sciences 3(3), pp. 271-287. TUR View Complete Reference Online information Works that this work references Works that reference this work
Koskivaara, E (2004). Artificial neural networks in analytical review procedures. Managerial Auditing Journal 19(2), pp. 191-223. View Complete Reference Online information Works that this work references Works that reference this work
Kumar, K and Bhattacharya, S (2007). Detecting the dubious digits: Benford’s law in forensic accounting. Significance 4(2), pp. 81-83. DOI:10.1111/j.1740-9713.2007.00234.x. View Complete Reference Online information Works that this work references Works that reference this work
Kuruppu, N (2020). Uncovering Financial Shenanigans: Benford’s Law as a Computer Assisted Analytical Procedure. International Journal of Business and Management 15(7), pp. 37-47. DOI:10.5539/ijbm.v15n7p37. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Lindsay, DH, Foote, PS, Campbell, A and Reilly, DP (2004). Detecting fraud in the data using automatic intervention detection. Fraud Magazine. A Publication of the Association of Certified Fraud Examiners, January/February 2004. View Complete Reference Online information Works that this work references Works that reference this work
Linville, M (2008). Introducing digit analysis with an interactive class exercise. Academy of Educational Leadership Journal 12(3), pp. 55-69. View Complete Reference Online information Works that this work references Works that reference this work
Linville, M (2008). The Problem Of False Negative Results In The Use Of Digit Analysis. Journal of Applied Business Research, Vol. 24 Issue 1, pp. 17-25. View Complete Reference Online information Works that this work references Works that reference this work
Lu, F and Boritz, JE (2005). Detecting Fraud in Health Insurance Data: Learning to Model Incomplete Benford’s Law Distributions. Machine Learning: ECML 2005 (Proceedings). Lecture Notes in Artificial Intelligence 3270, pp. 633-640. ISSN/ISBN:0302-9743. View Complete Reference Online information Works that this work references Works that reference this work
Möller, M (2009). Measuring the Quality of Auditing Services with the Help of Benford’s Law - An Empirical Analysis and Discussion of this Methodical Approach. E-print available at: http://ssrn.com/abstract=1529307; last accessed June 23, 2014. DOI:10.2139/ssrn.1529307. View Complete Reference Online information Works that this work references Works that reference this work
Morales, HR, Porporato, M and Epelbaum, N (2021). Benford’s law for integrity tests of high-volume databases: a case study of internal audit in a state-owned enterprise. Journal of Economics, Finance and Administrative Science. DOI:10.1108/JEFAS-07-2021-0113. View Complete Reference No online information available Works that this work references No Bibliography works reference this work
Nebel, J-C and Pezzulli, S (2012). Distribution of Human Genes Observes Zipf's Law. Kingston University Research & Innovation Reports (KURIR), Vol. 8, 2012. ISSN/ISBN:1749-5652. View Complete Reference Online information Works that this work references No Bibliography works reference this work
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Nigrini, MJ (2011). Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations. John Wiley & Sons: Hoboken, New Jersey; (2nd edition published in 2020, isbn 978-1-119-58576-3). ISSN/ISBN:978-0-470-89046-2. View Complete Reference Online information Works that this work references Works that reference this work
Noleto-Filho, EM, Carvalho, AR, Thomè-Souza, MJF and Angelini, R (2022). Reporting the accuracy of small–scale fishing data by simply applying Benford’s law. Frontiers in Marine Science 9, pp. 947503. DOI:10.3389/fmars.2022.947503. View Complete Reference Online information Works that this work references Works that reference this work
Othman, R, Ameer, R and Laswad, F (2019). Forensic Auditing Tools in Detecting Financial Statements' Irregularities: Benford's Law and Beneish Model in the Case of Toshiba. In: R. Marques, C. Santos, & H. Inácio (Eds.), Organizational Auditing and Assurance in the Digital Age, Hershey, PA: IGI Global, Chapter 13, pp. 256-275. DOI:10.4018/978-1-5225-7356-2.ch013. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Petucci, SD (2005). Benford’s Law: Can It Be Used to Detect Irregularities in First Party Automobile Insurance Claims?. Journal of Economic Crime Management 3(1), pp. 1-35. View Complete Reference Online information Works that this work references Works that reference this work
Pizzi, S, Venturelli, A, Variale, M and Macro, GP (2021). Assessing the impacts of digital transformation on internal auditing: A bibliometric analysis. Technology in Society 67, p. 101738. DOI:10.1016/j.techsoc.2021.101738. View Complete Reference Online information Works that this work references No Bibliography works reference this work
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Posch, PN (2005). Ziffernanalyse in Theorie und Praxis. Testverfahren zur Fälschungsaufspürung mit Benfords Gesetz. Diploma thesis, Universität Bonn, Germany, 2003. Published by Shaker Verlag, Aachen. GER View Complete Reference No online information available Works that this work references Works that reference this work
Posch, PN (2010). Ziffernanalyse mit dem Newcomb-Benford Gesetz in Theorie und Praxis. VEW Verlag Europäische Wirtschaft: Munich 2nd edition. GER View Complete Reference Online information Works that this work references Works that reference this work
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Rahayu, TS and Adhariani, D (2007). Assessing the Customs Value By the Use of Benford’s Law: A Case Study. Journal of Economics Business and Accounting. View Complete Reference Online information Works that this work references Works that reference this work
Rauch, B, Brähler, G, Engel, S and Göttsche, M (2011). Fact and Fiction in EU-Governmental Economic Data. German Economic Review 12(3), pp. 243-255. DOI:10.1111/j.1468-0475.2011.00542.x. View Complete Reference Online information Works that this work references Works that reference this work
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Shukla, A, Pandey, AK and Pathak, A (2017). Benford’s distribution in extrasolar world: Do the exoplanets follow Benford’s distribution?. Journal of Astrophysics and Astronomy JOAA-D-16-00138, 38(7). DOI:10.1007/s12036-017-9427-z. View Complete Reference Online information Works that this work references Works that reference this work
van Caneghem, T (2004). The impact of audit quality on earnings rounding-up behaviour: some UK evidence. European Accounting Review 13(4), 771-786. DOI:10.1080/0963818042000216866. View Complete Reference Online information Works that this work references Works that reference this work
van Caneghem, T (2016). NPO Financial Statement Quality: An Empirical Analysis Based on Benford’s Law. International Journal of Voluntary and Nonprofit Organizations 27(6), pp. 2685–2708. DOI:10.1007/s11266-015-9629-4. View Complete Reference Online information Works that this work references Works that reference this work
Watrin, C and Struffert, R (2006). Benford’s Law und Chi-Quadrat-Test – Chancen und Risiken des Einsatzes bei steuerlichen Prüfungen . Der Betrieb, Vol. 59, No. 33, pp. 1748-1750. GER View Complete Reference Online information Works that this work references Works that reference this work
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Yildiz, MS (2018). Benford Yasasının Veri Doğruluğunun Değerlendirilmesi Amaçlı Kullanımı: Hastane Verileri İçin Bir Uygulama [Use of Benford's Law to Evaluate Data Accuracy: An Application for Hospital Data]. Yönetim ve Ekonomi 25(3), pp. 849-861. DOI:10.18657/yonveek.336919. TUR View Complete Reference Online information Works that this work references Works that reference this work