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Xie, Yuf, Xie, Yut and Xie, S (2019). Financial data Conformance to Benford’s Law and its impact on Audit Fees. 2019 International Conference on Education, E-Learning and Economic Research (IC3ER 2019), pp. 311-318.

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

Amiram, D, Bozanic, Z and Rouen, E (2015). Financial statement errors: evidence from the distributional properties of financial statement numbers. Review of Accounting Studies 20(4), pp. 1540–1593. DOI:10.1007/s11142-015-9333-z. View Complete Reference Online information Works that this work references Works that reference this work
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
Durtschi, C, Hillison, W and Pacini, C (2004). The effective use of Benford’s law to assist in detecting fraud in accounting data. Journal of Forensic Accounting 1524-5586/Vol. V, pp. 17-34. View Complete Reference Online information Works that this work references Works that reference this work
Nigrini, MJ (1992). The Detection of Income Tax Evasion Through an Analysis of Digital Frequencies. PhD thesis, University of Cincinnati, OH, USA. View Complete Reference Online information Works that this work references Works that reference this work
Yin, H (2015). Financial statement conformance to Benford's law and audit fees. Masters thesis,  Macquarie University, Sydney, Australia . View Complete Reference Online information Works that this work references Works that reference this work