Cross Reference Down
Derks, K, de Swart, J, Wagenmakers, E-J and Wetzels, R (2021). The Bayesian Approach to Audit Evidence: Quantifying Statistical Evidence using the Bayes Factor. Preprint PsyArXiv; last accessed July 29, 2021.
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. |  |
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| Drake, PD and Nigrini, MJ (2000). Computer assisted analytical procedures using Benford’s law. Journal of Accounting Education 18, pp. 127-146. DOI:10.1016/S0748-5751(00)00008-7. | |
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| 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. | |
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| Ma'arif, MY, Jalal, AAA, Satar, NSM and Samah, MAA (2020). Detecting ERP Data Fraud Using the First Digits Formula of Benford’s Law . Sci.Int.(Lahore) 32(4),pp. 439-444. | |
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| 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. | |
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| Nigrini, MJ and Mittermaier, LJ (1997). The use of Benford's Law as an aid in analytical procedures. Auditing - A Journal of Practice & Theory 16(2), 52-67. ISSN/ISBN:0278-0380. | |
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| Varma, TNP and Khan, DA (2012). Fraud Detection in Supply Chain using Benford Distribution. International Journal of Research in Management 2(5), pp. 90-96. | |
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