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This work is cited by the following items of the Benford Online Bibliography:
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Ausloos, M, Ficcadenti, V, Does, G and Shakeel, M (2021). Benford's laws tests on S&P500 daily closing values and the corresponding daily logreturns both point to huge nonconformity. Preprint arXiv:2104.07962 [qfin.ST]; last accessed April 30, 2021. To appear in: Physica A: Statistical Mechanics and its Applications, 574. DOI:10.1016/j.physa.2021.125969.





Ausloos, M, Ficcadenti, V, Dhesi, G and Shakeel, M (2021). Benford’s laws tests on S&P500 daily closing values and the corresponding daily logreturns both point to huge nonconformity. Physica A: Statistical Mechanics and its Applications 574, pp. 125969. DOI:10.1016/j.physa.2021.125969.





Balashov, VS, Yan, Y and Zhu, X (2020). Who Manipulates Data During Pandemics? Evidence from NewcombBenford Law. Preprint arXiv:2007.14841 [econ.GN]; last accessed March 10, 2021.





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. 351382. DOI:10.18593/race.v14i1.4065 .





Gauvrit, N, Houillon, JC and Delahaye, JP (2017). Generalized Benford’s Law as a Lie Detector. Advances in Cognitive Psychology 13(2), pp. 121127. DOI:10.5709/acp0212x.





Miller, SJ (ed.) (2015). Benford's Law: Theory and Applications. Princeton University Press: Princeton and Oxford. ISSN/ISBN:9780691147611.




