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Publisher | John Wiley & Sons Inc (US) |
Author(s) | Mark J. Nigrini / Joseph T. Wells |
Subtitle | Applications for Forensic Accounting, Auditing, and Fraud Detection |
Edition | 1 |
Published | 30th March 2012 |
Related course codes |
Applications for Forensic Accounting, Auditing, and Fraud Detection
A powerful new tool for all forensic accountants, or anyone whoBenford's Law gives the expected patterns of the digits in the
numbers in tabulated data such as town and city populations or
Madoff's fictitious portfolio returns. Those digits, in unaltered
data, will not occur in equal proportions; there is a large bias
towards the lower digits, so much so that nearly one-half of all
numbers are expected to start with the digits 1 or 2. These
patterns were originally discovered by physicist Frank Benford in
the early 1930s, and have since been found to apply to all
tabulated data. Mark J. Nigrini has been a pioneer in applying
Benford's Law to auditing and forensic accounting, even before his
groundbreaking 1999 Journal of Accountancy article introducing this
useful tool to the accounting world. In Benford's Law, Nigrini
shows the widespread applicability of Benford's Law and its
practical uses to detect fraud, errors, and other anomalies.
Benford's Law has 250 figures and uses 50 interesting
authentic and fraudulent real-world data sets to explain both
theory and practice, and concludes with an agenda and directions
for future research. The companion website adds additional
information and resources.