This work is cited by the following items of the Benford Online Bibliography:
Ausloos, M, Cerqueti, R and Mir, TA (2017). Data science for assessing possible tax income manipulation: The case of Italy. Chaos, Solitons and Fractals 104, pp. 238–256. DOI:10.1016/j.chaos.2017.08.012. | ||||
Bao, Y, Heilig, F, Lee, C-H and Lusk, EJ (2018). Full range testing of the small size effect bias for Benford screening: A note. International Journal of Economics and Finance 10(6), pp. 47-52. DOI:10.5539/ijef.v10n6p47. | ||||
Bao, Y, Lee, C-H, Heilig, F and Lusk, EJ (2018). Empirical information on the small size effect bias relative to the false positive rejection error for Benford test-screening. International Journal of Economics and Finance 10(2), pp. 1-9. DOI:10.5539/ijef.v10n2p1. | ||||
Halperin, M and Lusk, EJ (2016). Navigating the Benford labyrinth: A big-data Analytic protocol illustrated using the Academic library Context. Knowledge Management & E-Learning 8(1), pp. 138-157. | ||||
Heilig, F and Lusk, EJ (2017). A robust Newcomb-Benford account screening profiler: An audit decision support system. International Journal of Financial Research 8(3), pp. 27-39. DOI:10.5430/ijfr.v8n3p27. | ||||
Lusk, EJ and Halperin, M (2014). Test of Proportions Screening for the Newcomb-Benford Screen in the Audit Context: A Likelihood Triaging Protocol. Journal of Accounting and Finance Research 3(4), pp. 166-180. DOI:10.5430/afr.v3n4p166. | ||||
Lusk, EJ and Halperin, M (2015). Testing the mixing property of the Newcomb-Benford Profile: Implications for the audit context. International Journal of Economics & Finance 7(6), pp. 42-50. DOI:10.5539/ijef.v7n6p42. | ||||
Pröger, L (2021). Anwendbarkeit des Benford-Gesetzes auf Bewegungsdaten von Wildtieren. Masters Thesis, Institut für Wildbiologie und Jagdwirtschaft, Universität für Bodenkultur Wien. GER |