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Kaushik, R (2022). Using benford’s law and RMSE to predict financial fraud using firm-reported data. PREPRINT (Version 1) available at Research Square.

This work cites the following items of the Benford Online Bibliography:

Benford, F (1938). The law of anomalous numbers. Proceedings of the American Philosophical Society, Vol. 78, No. 4 (Mar. 31, 1938), pp. 551-572. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
Hidayat, T and Budiman, AI (2016). Analisys Benford Law For Company Evidance From Indonesia. International Journal Of Engineering Sciences & Research Technology 5(4), pp. 123-129. DOI:10.5281/zenodo.48844. View Complete Reference Online information Works that this work references Works that reference this work
Hill, TP (1995). A Statistical Derivation of the Significant-Digit Law. Statistical Science 10(4), pp. 354-363. ISSN/ISBN:0883-4237. View Complete Reference Online information Works that this work references Works that reference this work
Kordestani, G and Tatli, R (2016). The review of earnings management in different level of conservatism and institutional investors base Benford law. The Iranian Accounting and Auditing Review 23 (1), pp. 73–96. DOI:10.22059/ACCTGREV.2016.58467. PER View Complete Reference Online information Works that this work references Works that reference this work
Miller, SJ (ed.) (2015). Benford's Law: Theory and Applications. Princeton University Press: Princeton and Oxford. ISSN/ISBN:978-0-691-14761-1. View Complete Reference Online information Works that this work references Works that reference this work
Nigrini, MJ (2012). Benford's Law: Applications for Forensic Accounting, Auditing, and Fraud Detection . John Wiley & Sons: Hoboken, New Jersey. ISSN/ISBN:978-1-118-15285-0. DOI:10.1002/9781119203094. View Complete Reference Online information Works that this work references Works that reference this work