Geyer, D and Drechsler, C (2014). Detecting Cosmetic Debt Management Using Benford's Law
. The Journal of Applied Business Research 30 (5), pp.14851492.
This work is cited by the following items of the Benford Online Bibliography:
Note that this list may be incomplete, and is currently being updated. Please check again at a later date.
AlRawashdeh, F (2017). Applying Benford's law into Jordanian insurance companies to identify earning's manipulations. Business and Economic Horizons 13(2), pp. 210223. DOI:10.15208/beh.2017.16.





Joksimović, D, Knežević, G, Pavlović, V, Ljubić, M and Surovy, V (2017). Some Aspects of the Application of Benford’s Law in the Analysis of the Data Set Anomalies. In: Knowledge Discovery in Cyberspace: Statistical Analysis and Predictive Modeling. New York: Nova Science Publishers, pp. 85–120. ISSN/ISBN:9781536105667.





Nigrini, MJ (2016). The Implications of the Similarity between Fraud Numbers and the Numbers in Financial Accounting Textbooks and Test Banks. Journal of Forensic Accounting Research, Vol. 1, No. 1, pp. A1A26. DOI:10.2308/jfar51465.





Nigrini, MJ (2017). Audit Sampling Using Benford's Law: A Review of the Literature With Some New Perspectives. Journal of Emerging Technologies in Accounting Vol. 14, No. 2,
pp. 29–46. DOI:10.2308/jeta51783.





Nigrini, MJ (2019). The patterns of the numbers used in occupational fraud schemes. Managerial Auditing Journal 34(5), pp. 606626. DOI:10.1108/MAJ1120171717.





Radiah, O and Ameer, R (2020). Benford Law and Earnings Analysis: International Comparison. Ch. 18 in: Handbook of Research on Accounting and Financial Studies, L. Farinha, A. Baltazar Cruz and J.R. Sebastiăo, IGI Global: Hershey, PA, pp. 381404
. ISSN/ISBN:9781799821366. DOI:10.4018/9781799821366.ch018.




