Bounds for Gini’s mean difference based on first four moments, with some applications
Xuehua Yin,
Narayanaswamy Balakrishnan () and
Chuancun Yin ()
Additional contact information
Xuehua Yin: Qufu Normal University
Narayanaswamy Balakrishnan: McMaster University
Chuancun Yin: Qufu Normal University
Statistical Papers, 2023, vol. 64, issue 6, No 11, 2100 pages
Abstract:
Abstract In this paper, we obtain lower and upper bounds for the Gini mean difference for the case of independent and identically distributed random variables based on the information about mean, variance, skewness, and kurtosis of the distribution. We also obtain some relationships between the three dispersion measures in the general case. The established results improve some well-known bounds and inequalities. These results are then used to sharpen some inequalities concerning Gini’s index, order statistics and premium principles. Examples demonstrate that the proposed bounds perform much better than the existing ones.
Keywords: Expectation of the maximum; Gini index; Gini mean difference; Kurtosis; Lower and upper bounds; Order statistics; Premium principles (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:stpapr:v:64:y:2023:i:6:d:10.1007_s00362-022-01374-0
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DOI: 10.1007/s00362-022-01374-0
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