pp 74-79 in: Smarandache, F (ed), Proceedings of the first international conference on neutrosophy, neutrosophic logic, neutrosophic set, neutrosophic probability and statistics, University of New Mexico - Gallup, Dec 2001
ISSN / ISBN: Not available at this time
ABSTRACT: This study actually draws from and builds on “Benford’s law and its application in financial misrepresented of a data” (Kumar and Bhattacharya, 2001). Here we have simply added a neutrosophic dimension to the problem of determining the conditional probability that a financial misrepresentation of the data set, 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
Bibtex not available at this time.
Reference Type: Conference Paper
Subject Area(s): Accounting, Statistics