Conditional probability of actually detecting a financial fraud - a neutrosophic extension to Benford's law

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dc.creatorBhattacharya, Sukanto
dc.creatorKumar, Kuldeep
dc.creatorSmarandache, Florentin
dc.date2005-04-25
dc.date.accessioned2026-07-07T06:21:28Z
dc.date.available2026-07-07T06:21:28Z
dc.descriptionThis study actually draws from and builds on an earlier paper (Kumar and Bhattacharya, 2002). Here we have basically added a neutrosophic dimension to the problem of determining the conditional probability that a financial fraud has been actually committed, given that no Type I error occurred while rejecting the null hypothesis H0: The observed first-digit frequencies approximate a Benford distribution; and accepting the alternative hypothesis H1: The observed first-digit frequencies do not approximate a Benford distribution. We have also suggested a conceptual model to implement such a neutrosophic fraud detection system.
dc.description9 pages
dc.identifierhttps://arxiv.org/abs/math/0504520
dc.identifierhttp://arxiv.org/abs/math/0504520
dc.identifierInternational Journal of Applied Mathematics, Vol. 17, No 1, pp. 7-14, 2005.
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/95608
dc.subjectGeneral Mathematics
dc.subject91B28, 47N30
dc.titleConditional probability of actually detecting a financial fraud - a neutrosophic extension to Benford's law
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