Goodness-of-fit testing for the Newcomb-Benford law with application to the detection of customs fraud
Lucio Barabesi, Andrea Cerasa, Andrea Cerioli, Domenico Perrotta
| Year of publication: |
Apri 2018
|
|---|---|
| Authors: | Barabesi, Lucio ; Cerasa, Andrea ; Cerioli, Andrea ; Perrotta, Domenico |
| Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Alexandria, Va. : American Statistical Association, ISSN 0735-0015, ZDB-ID 876122-X. - Vol. 36.2018, 2, p. 346-358
|
| Subject: | Antifraud | International trade | Multiple testing | Outlier detection | Significant digit distribution | Statistischer Test | Statistical test | Theorie | Theory | Betrug | Fraud | Bootstrap-Verfahren | Bootstrap approach | Statistische Verteilung | Statistical distribution |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/07350015.2016.1172014 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011895072