On the Sample Range Inequalities

Abstract We extend the classical sharp sample range inequality in terms of the sample standard deviation and provide a complete proof of the extension. In particular, we obtain a sharp inequality for the ratio of Gini’s mean difference to the sample range. By using sample ranges instead of the sample standard deviations, we also derive a novel result analogous to Benedetti’s inequality about the correlation coefficient calculated from a pair of two increasing samples of the same size. Applications of the obtained results are also discussed.

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Publication Details

Journal
Sankhya A
Published
2026-08-25
DOI
https://doi.org/10.1007/s13171-026-00457-6
Primary Topic
Mathematical Inequalities and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

On the Sample Range Inequalities

Tsung‐Lin Cheng, Gwo Dong Lin, Chin‐Yuan Hu
Sankhya A
Mathematical Inequalities and Applications
article

On the Sample Range Inequalities

Tsung‐Lin Cheng, Gwo Dong Lin, Chin‐Yuan Hu
article en

Abstract

Abstract We extend the classical sharp sample range inequality in terms of the sample standard deviation and provide a complete proof of the extension. In particular, we obtain a sharp inequality for the ratio of Gini’s mean difference to the sample range. By using sample ranges instead of the sample standard deviations, we also derive a novel result analogous to Benedetti’s inequality about the correlation coefficient calculated from a pair of two increasing samples of the same size. Applications of the obtained results are also discussed.

Sankhya A
Genomics Research Center, Academia Sinica (TW), National Changhua University of Education (TW)
Academia Sinica
Reduced inequalities
Openalex Percentile: Top 6%
Mathematical Inequalities and Applications
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