This work is cited by the following items of the Benford Online Bibliography:
Ferrero, JM, Ballesteros, BC and Milani Filho, MAF (2015). The link between earnings management and digital pattern. Revista de Administração, Contabilidade e Economia, 14(1), pp. 351-382. DOI:10.18593/race.v14i1.4065 . | ||||
Filho, MAFM (2013). A Confiabilidade dos Dados Financeiros de Hospitais Filantrópicos Canadenses: Um Estudo Empírico Baseado na Lei de Benford [The reliability of financial information of charitable organizations: an exploratory study based on the Benford’s Law]. Sociedade, Contabilidade e Gestão 8(2), pp. 47-63. POR | ||||
Jianu, Io and Jianu, Iu (2021). Reliability of Financial Information from the Perspective of Benford’s Law. Entropy 23(5), article no. 557. DOI:10.3390/e23050557. | ||||
Mir, TA (2016). The leading digit distribution of the worldwide illicit financial flows. Quality & Quantity vol. 50, p. 271-281. DOI:10.1007/s11135-014-0147-z. | ||||
Morillas-Jurado, FG, Caballer-Tarazona, M and Caballer-Tarazona, V (2022). Applying Benford’s Law to Monitor Death Registration Data: A Management Tool for the COVID-19 Pandemic. Mathematics 10(1), 46. DOI:10.3390/math10010046. | ||||
Mumic, N and Filzmoser, P (2021). A multivariate test for detecting fraud based on Benford’s law, with application to music streaming data. Statistical Methods & Applications 30, 819–840. DOI:10.1007/s10260-021-00582-6. | ||||
Park, JA, Kim, M and Yoon, S (2016). Evaluation of Large-scale Data to Detect Irregularity in Payment for Medical Services. Methods of Information in Medicine 55(03), pp. 284-291. DOI:10.3414/ME15-01-0076. | ||||
Plaček, M (2013). Is data of Znojmo reliable?. New Trends 2013 - Proceedings of 8th international scientific conference. Private College of Economics Studies Znojmo, p.52-57. ISSN/ISBN: 978-80-87314-54-8 . CZE | ||||
Plaček, M and Krápek, M (2014). The applications of Benford´s law to macroeconomic data – Current Experience . New Trends 2014 - Proceedings of 9th international scientific conference. Private College of Economic Studies Znojmo, pp. 428-432. ISSN/ISBN:2336–7431 . CZE | ||||
Shim, T, Kim, Z and Jung, J (2023). A Benford’s law‑based framework to determine the threshold of occurrence sites for species distribution modelling from ecological monitoring databases. Scientific Reports 13, pp. 16777 . DOI:10.1038/s41598-023-44010-z. |