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Main Authors: Vila, Roberto, Saulo, Helton
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2504.19381
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author Vila, Roberto
Saulo, Helton
author_facet Vila, Roberto
Saulo, Helton
contents This paper establishes the theoretical result that the sample $m$th Gini index is an unbiased estimator of the population $m$th Gini index, introduced by Gavilan-Ruiz (2024), for gamma-distributed populations. An illustrative Monte Carlo simulation study confirms the unbiasedness of the sample $m$th Gini index estimator in finite samples.
format Preprint
id arxiv_https___arxiv_org_abs_2504_19381
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The $m$th Gini index estimator: Unbiasedness for gamma populations
Vila, Roberto
Saulo, Helton
Methodology
This paper establishes the theoretical result that the sample $m$th Gini index is an unbiased estimator of the population $m$th Gini index, introduced by Gavilan-Ruiz (2024), for gamma-distributed populations. An illustrative Monte Carlo simulation study confirms the unbiasedness of the sample $m$th Gini index estimator in finite samples.
title The $m$th Gini index estimator: Unbiasedness for gamma populations
topic Methodology
url https://arxiv.org/abs/2504.19381