Barabesi, L, Cerasa, A, Cerioli, A and Perotta, D (2021). A combined test of the Benford Hypothesis With Antifraud Applications. Proceedings of 13th Scientific Meeting of the Classification and Data Analysis Group, Florence, September 911. STAMPA, pp. 256259.
This work cites the following items of the Benford Online Bibliography:
Barabesi, L, Cerasa, A, Cerioli, A and Perrotta, D (2018). Goodnessoffit testing for the NewcombBenford law with application to the detection of customs fraud. Journal of Business & Economic Statistics 36(2), pp. 346358. DOI:10.1080/07350015.2016.1172014.





Barabesi, L, Cerasa, A, Cerioli, A and Perrotta, D (2021). On characterizations and tests of Benfordâ€™s law. Journal of the American Statistical Association. DOI:10.1080/01621459.2021.1891927.





Berger, A and Hill, TP (2020). The mathematics of Benfordâ€™s law: a primer. Statistical Methods & Applications. DOI:10.1007/s10260020005328.





Cerioli, A, Barabesi, L, Cerasa, A, Menegatti, M and Perrotta, D (2019). NewcombBenford law and the detection of frauds in international trade. Proceedings of the National Academy of Sciences 116(1), pp. 106115. DOI:10.1073/pnas.1806617115.




