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On the bias of the Gini coefficient estimator for zero-truncated Poisson distributions
Published: April 6, 2025 |
arXiv ID: 2504.04518v1
By: Roberto Vila, Helton Saulo
Potential Business Impact:
Fixes unfairness in counting things that happen sometimes.
Business Areas:
A/B Testing
Data and Analytics
This paper analyzes the Gini coefficient estimator for zero-truncated Poisson populations, revealing the presence of bias, and provides a mathematical expression for the bias, along with a bias-corrected estimator, which is evaluated using Monte Carlo simulation methods.
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