Benford's Law and possibly also those statistics known as descriptive statistics. These high-tests are always followed by more focused tests to look for small samples of highly irregular transactions. The familiar methods of correlation and time-series analysis can also be used to detect fraud and other irregularities. Forensic analytics also includes the use of a fraud risk-scoring model to identify high risk forensic units (customers, employees, locations, insurance claims and so on). Forensic analytics also includes suggested tests to identify financial statement irregularities, but the general rule is that analytic methods alone are not too successful at detecting financial statement fraud.
Notable fraudsters This section needs additional citations for verification. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed. (December 2013) This section includes a list of references, but its sources remain unclear because it has insufficient inline citations. Please help to improve this article by introducing more precise citations. (December 2013)