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. | ||||
Coracioni, A (2013). Cercetare privind aplicarea modelului Benford în detectarea riscului de frauda [Research Regarding the Usage of the Benford's Model for the Fraud Detection]. Audit Financiar 11(8), pp. 23-27. RON | ||||
De Marchi, S and Hamilton, JT (2006). Assessing the accuracy of self-reported data: An evaluation of the toxics release inventory. Journal of Risk and Uncertainty 32(1), pp. 57-76. ISSN/ISBN:0895-5646. DOI:10.1007/s10797-006-6666-3. | ||||
Jäntschi, L, Bolboaca, S, Stoenoiu, C, Iancu, M, Marta, MM and Pică, EM, Ştefu, M, Sestraş, AF, Duda, MM, Sestraş, RE, Ţigan, S, Abrudan, I, and Bălan, MC (2009). Distribution Fitting 4. Benford test on a sample of observed genotypes number from running of a genetic algorithm . Bulletin UASVM Agriculture 66(1), pp. 82-88. | ||||
Ma, D (2011). Benford’s Law and US Census Data, Parts I and II. WordPress.com Blog. Posted 25 Nov. 2011. | ||||
Newcomb, S (1881). Note on the frequency of use of the different digits in natural numbers. American Journal of Mathematics 4(1), pp. 39-40. ISSN/ISBN:0002-9327. DOI:10.2307/2369148. | ||||
Sandron, F (2002). Do populations conform to the law of anomalous numbers?. Population 57(4/5), 753-761 (translated from French by SR Hayford). ISSN/ISBN:1634-2941. DOI:10.3917/popu.204.0761. | ||||
Talwar, S and Mehta, K (2014). Devising a Model for Accounting Fraud Detection Based on Benford's Law. IOSR Journal of Economics and Finance Volume 2 - Simsr International Finance Conference (SIFICO), pp. 1-9. ISSN/ISBN:2321-5933. |