Cross Reference Up

Morrow, J (2014). Benford’s Law, Families of Distributions and a Test Basis. Center for Economic Performance Discussion Paper No 1291.

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Baryła, M and Pociecha, J (2019). Euclidean distance as a measure of conformity to Benford's law in digital analysis for fraud detection. Book of Short Papers, Proceedings of the 12th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society (SIS), pp. 75-78. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Dang, CT, Burger, R and Owens, T (2019). Better Performing NGOs Do Report More Accurately: Evidence from Investigating Ugandan NGO Financial Accounts. Economic Development and Cultural Change, forthcoming. DOI:10.1086/703099. View Complete Reference Online information Works that this work references Works that reference this work
Dang, CT and Owens, T (2019). Does transparency come at the cost of charitable services? Evidence from investigating British charities. CREDIT Research Paper 19/02. View Complete Reference Online information Works that this work references Works that reference this work
Deleanu, IS (2017). Do Countries Consistently Engage in Misinforming the International Community about Their Efforts to Combat Money Laundering? Evidence Using Benford's Law. PLoS One 12(1), p. e0169632. DOI:10.1371/journal.pone.0169632. View Complete Reference Online information Works that this work references Works that reference this work
Druica, E, Oancea, B and Valsan, C (2018). Benford's law and the limits of digit analysis. International Journal of Accounting Information Systems 31, pp. 75–82. DOI:10.1016/j.accinf.2018.09.004. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Kienle, S (2015). What Benford Can Tell Us About Cover Pools – An Empirical Analysis. International Business & Economic Research Journal 14(6), pp. 829-834. DOI:10.19030/iber.v14i6.9489. View Complete Reference Online information Works that this work references Works that reference this work
Palanca, TJ (2014). On Benford's Law: Determining import fraud risk using customs data. Blog posted on tjpalanca.com, November 17, 2014; last accessed Jun 8, 2019. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Suzuki, T, Kamimasu, T, Nakatoh, T and Hirokawa, S (2018). Identification of Unnatural Subsets in Statistical Data. 7th International Congress on Advanced Applied Informatics (IIAI-AAI), pp. 74-80. DOI:10.1109/IIAI-AAI.2018.00024. View Complete Reference Online information Works that this work references No Bibliography works reference this work