Book of Short Papers, Proceedings of the 12th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society (SIS), pp. 394-397.
ISSN/ISBN: Not available at this time. DOI: Not available at this time.
Abstract: We consider statistical tools for the detection of frauds in customs data collected in international trade, by developing a principled framework for goodness- of-fit testing of Benford’s law. Our approach relies on a trader-specific contamination model, under which fraud detection has close connections with outlier testing. We also compare the performance of this approach with alternative tools based on robust statistics that rely on a different transaction-specific contamination model.
Bibtex:
@inproceedings{,
AUTHOR={Domenico Perrotta and Andrea Cerasa and Lucio Barabesi and Mario Menegatti},
TITLE={Contamination And Manipulation Of Trade Data: The Two Faces Of Customs Fraud},
BOOKTITLE={12th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society (SIS)},
MONTH={September},
YEAR={2019},
PAGES = {394--397},
URL={http://cladag2019.unicas.it/download-files/cladag-book-abstract-pre-print.pdf},
}
Reference Type: Conference Paper
Subject Area(s): Accounting, Statistics