Work

When Results Are Too Good to Be True, They Are Probably Not True

Year: 2020

Type: book-chapter

Source: Sage eBooks

DOI: 10.4135/9781071802601.n48

Authors: Thomas S. Wallsten, Gal Zauberman, Dan Ariely

Language: English

Topic: Benford’s Law and Fraud Detection

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3001890353

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