All Data are Wrong, but Some are Useful? Advocating the Need for Data Auditing

DOI10.1080/00031305.2017.1311282MaRDI QIDQ6039606

Garritt L. Page, Unnamed Author, Miguel de Carvalho

Publication date: 23 May 2023

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/20.500.11820/0be592cf-ddba-4046-a874-326ee2e56da6

zbMATH Keywords

Benford's lawdata qualityapplied statisticssignificant digits

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Severe testing of Benford's law

Cites Work

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• Applied statistics: a review
• A statistical derivation of the significant-digit law
• Statistical fraud detection: a review
• Benford’s Law, A Growth Industry
• Not the First Digit! Using Benford's Law to Detect Fraudulent Scientif ic Data
• The First Digit Problem
• Large-sample results for Kolmogorov-Smirnov statistics for discrete distributions
• Base-Invariance Implies Benford's Law
• Newton's Method Obeys Benford's Law
• A Kolmogorov Goodness-of-Fit Test for Discontinuous Distributions
• Challenges and Opportunities for Statistics and Statistical Education: Looking Back, Looking Forward

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