Benford’s Law and Fraud Detection

Benford’s Law and Fraud Detection is a research topic within Statistics and Probability. Science Explorer counts 3.4k research works in it since 1950. 10.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the statistical analysis and applications of Benford's Law, a phenomenon that describes the frequency distribution of leading digits in many real-life sets of numerical data. The papers cover topics such as fraud detection, election irregularities, data authenticity, financial data analysis, forensic accounting, and the application of Benford's Law to monitor and assess the quality of COVID-19 reporting.

• Benford's Law
• fraud detection
• election irregularities
• data authenticity
• financial data
• statistical analysis
• forensic accounting
• COVID-19 reporting
• accounting data manipulation
• data quality