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Barabesi, L, Cerasa, A, Cerioli, A and Perrotta, D (2018). Goodness-of-fit testing for the Newcomb-Benford law with application to the detection of customs fraud. Journal of Business & Economic Statistics 36(2), pp. 346-358.

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Cerioli, A, Barabesi, L, Cerasa, A, Menegatti, M and Perrotta, D (2019). Newcomb-Benford law and the detection of frauds in international trade. Proceedings of the National Academy of Sciences 116(1), pp. 106-115. DOI:10.1073/pnas.1806617115. View Complete Reference Online information Works that this work references Works that reference this work
Dang, CT, Burger, R and Owens, T (2019). Better Performing NGOs Do Report More Accurately: Evidence from Investigating Ugandan NGO Financial Accounts. Economic Development and Cultural Change, forthcoming. DOI:10.1086/703099. View Complete Reference Online information Works that this work references Works that reference this work
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. 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
Perrotta, D, Cerasa, A, Barabesi, L and Menegatti, M (2019). Contamination And Manipulation Of Trade Data: The Two Faces Of Customs Fraud . Book of Short Papers, Proceedings of the 12th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society (SIS), pp. 394-397. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Shulzinger, E, Legchenkova, I and Bormashenko, E (2018). Co-occurrence of the Benford-like and Zipf Laws Arising from the Texts Representing Human and Artificial Languages. Preprint arXiv:1803.03667 [cs.CL]; last accessed April 6, 2019. View Complete Reference Online information Works that this work references Works that reference this work