Benford's Law and Fraud Detection. Facts and Legends


Autoria(s): Diekmann, Andreas; Jann, Ben
Data(s)

06/02/2010

Resumo

Is Benford's law a good instrument to detect fraud in reports of statistical and scientific data? For a valid test the probability of "false positives" and "false negatives" has to be low. However, it is very doubtful whether the Benford distribution is an appropriate tool to discriminate between manipulated and non-manipulated estimates. Further research should focus more on the validity of the test and test results should be interpreted more carefully.

Formato

application/pdf

Identificador

http://boris.unibe.ch/69447/1/diekmann_jann_benford_2010.pdf

Diekmann, Andreas; Jann, Ben (6 February 2010). Benford's Law and Fraud Detection. Facts and Legends (ETH Zurich Sociology Working Papers 8). Zürich: ETH Zürich

doi:10.7892/boris.69447

Idioma(s)

eng

Publicador

ETH Zürich

Relação

http://boris.unibe.ch/69447/

https://ideas.repec.org/p/ets/wpaper/8.html

Direitos

info:eu-repo/semantics/openAccess

Fonte

Diekmann, Andreas; Jann, Ben (6 February 2010). Benford's Law and Fraud Detection. Facts and Legends (ETH Zurich Sociology Working Papers 8). Zürich: ETH Zürich

Palavras-Chave #300 Social sciences, sociology & anthropology
Tipo

info:eu-repo/semantics/workingPaper

info:eu-repo/semantics/publishedVersion

NonPeerReviewed