A multivariate test for detecting fraud based on Benford's law, with application to music streaming data
type: Item
instance of: scholarly article
title: A multivariate test for detecting fraud based on Benford's law, with application to music streaming data
zbMATH Open document ID: 1479.60031
author: Nermina Mumic
author: P. Filzmoser
published in: Statistical Methods and Applications
publication date: 2021-12-27T00:00:00Z
Mathematics Subject Classification ID: 60E05
Mathematics Subject Classification ID: 62H15
Mathematics Subject Classification ID: 62P20
zbMATH DE Number: 7450861
zbMATH Keywords: Benford's law
zbMATH Keywords: compositional data
zbMATH Keywords: fraud detection
zbMATH Keywords: multivariate testing
describes a project that uses: benford.analysis
MaRDI profile type: Publication
full work available at URL: s10260-021-00582-6
OpenAlex ID: W3186068795
cites work: Q4207468
cites work: Q4420195
cites work: A basic theory of Benford's law
cites work: Newcomb–Benford law and the detection of frauds in international trade
cites work: Isometric logratio transformations for compositional data analysis
cites work: Exploratory tools for outlier detection in compositional data with structural zeros
cites work: A statistical derivation of the significant-digit law
cites work: Benford's law applied to hydrology data-results and relevance to other geophysical data
DOI: 10.1007/S10260-021-00582-6
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description: scientific article; zbMATH DE number 7450861