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. | ||||
Benford, F (1938). The law of anomalous numbers. Proceedings of the American Philosophical Society, Vol. 78, No. 4 (Mar. 31, 1938), pp. 551-572. | ||||
Boyle, J (1994). An Application of Fourier Series to the Most Significant Digit Problem. American Mathematical Monthly 101(9), pp. 879-886. ISSN/ISBN:0002-9890. DOI:10.2307/2975136. | ||||
Corazza, M, Ellero, A and Zorzi, A (2010). Checking financial markets via Benford's law: the S&P 500 case. In: Corazza, M and Pizzi, C (Eds.): Mathematical and Statistical Methods for Actuarial Sciences and Finance, Springer, pp. 93-102. DOI:10.1007/978-88-470-1481-7_10. | ||||
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. | ||||
Gava, AM and Vitiello, L (2014). Inflation, Quarterly Balance Sheets and the Possibility of Fraud: Benford's Law and the Brazilian case. Journal of Accounting, Business & Management Vol. 21 Issue 1, pp. 43-52. ISSN/ISBN:0216-423X. | ||||
Grammatikos, T and Papanikolaou, NI (2016). Applying Benford’s Law to Detect Accounting Data Manipulation in the Banking Industry. Luxembourg School of Finance Working Paper Series 11. DOI:10.2139/ssrn.2352775. | ||||
Hashemi, S and Hariri, A (2017). The analysis of Benford’s law ability to identify and predict financial fraud detection. Accounting and Auditing Review 24 (2), pp. 283–302. DOI:10.22059/ACCTGREV.2017.220346.1007490. PER | ||||
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. | ||||
Hill, TP (1995). A Statistical Derivation of the Significant-Digit Law. Statistical Science 10(4), pp. 354-363. ISSN/ISBN:0883-4237. | ||||
Nigrini, MJ and Miller, SJ (2009). Data Diagnostics Using Second-Order Tests of Benford's Law. Auditing: A Journal of Practice & Theory 28(2), pp. 305-324. DOI:10.2308/aud.2009.28.2.305 . |