General Mathematics

   

Conditional Probability of Actually Detecting a Financial Fraud – a Neutrosophic Extension to Benford’s Law

Authors: Sukanto Bhattacharya, Kuldeep Kumar, Florentin Smarandache

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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[v1] 2014-04-16 01:49:02

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