Jump to ContentJump to Main Navigation
Benford's LawTheory and Applications$
Users without a subscription are not able to see the full content.

Steven J. Miller

Print publication date: 2015

Print ISBN-13: 9780691147611

Published to Princeton Scholarship Online: October 2017

DOI: 10.23943/princeton/9780691147611.001.0001

Show Summary Details
Page of

PRINTED FROM PRINCETON SCHOLARSHIP ONLINE (www.princeton.universitypressscholarship.com). (c) Copyright Princeton University Press, 2019. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in PRSO for personal use.date: 21 October 2019

Detecting Fraud and Errors Using Benfordʼs Law Mark Nigrini

Detecting Fraud and Errors Using Benfordʼs Law Mark Nigrini

Chapter:
(p.191) Chapter Eight Detecting Fraud and Errors Using Benfordʼs Law Mark Nigrini
Source:
Benford's Law
Author(s):
Steven J. Miller
Publisher:
Princeton University Press
DOI:10.23943/princeton/9780691147611.003.0008

This chapter reviews Benford's law as it relates to detecting fraud and errors. It starts with an introduction and a review of selected parts of Benford's original 1938 paper, which shows the results of his analysis of 20,229 records from a total of 20 sets of data. Thereafter, four complaint data sets are reviewed, pertaining to interest received amounts from tax return data, census results from the 2000 United States census, results of an analysis of streamflow data, and results of analysis of accounts payable data. This is then followed by a discussion of several Benford analyses of fraudulent data related to accounts payable amounts, payroll data, and reported corporate numbers. The concluding discussion talks about these findings and sheds some light on when Benford's law might, or might not, detect fraud or errors.

Keywords:   1938 paper, complaint data sets, authentic data sets, fraudulent data sets, fraud detection, error detection

Princeton Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us.