Benford's Law and Fraud Detection. Facts and Legends
Data(s) |
06/02/2010
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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 |