Benford’s Law and Fraud Detection
Description: 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.
Characteristic keywords: Benford's law, first digit distribution, digit distribution, leading digit distribution, logarithmic distribution, election fraud detection, data manipulation detection, accounting fraud detection, first significant digit distribution, election forensics, leading digits, fraud analytics
Sibling topics: Statistical Methods and Inference, Statistical Methods and Bayesian Inference, Advanced Causal Inference Techniques, Statistical Distribution Estimation and Applications, Statistical Methods in Clinical Trials, Cognitive and developmental aspects of mathematical skills, Random Matrices and Applications, Advanced Statistical Methods and Models, Statistics Education and Methodologies, Markov Chains and Monte Carlo Methods, Approximation Theory and Sequence Spaces, Fuzzy Systems and Optimization, Survey Sampling and Estimation Techniques, Statistical Methods and Applications, Probability and Statistical Research, Census and Population Estimation, Education, Psychology, and Complexity Research, Probabilistic Statistics in Medicine, Statistical Methods in Epidemiology
Parent subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
OpenAlex ID: T13720