A Nonparametric K-sample Test for Variability Based on Gini’s Mean Difference
Abstract In this study, we utilize Gini’s mean difference (GMD) to develop a nonparametric test for comparing variability across K populations. A jackknife empirical likelihood (JEL) method was applied to develop the test statistic, with a chi-squared distribution of K-1 degrees of freedom. Simulati...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-04-01
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| Series: | Journal of Statistical Theory and Applications (JSTA) |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44199-025-00112-3 |
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