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

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

2005-04-25

arxiv.org/abs/math/0504520v1

International Journal of Applied Mathematics, Vol. 17, No 1, pp. 7-14, 2005.

Mathematics

General Mathematics

9 pages

Scientific paper

This 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.

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