On absolute moment-based upper bounds for L-moments

A number of absolute moment-based upper bounds for Gini’s mean difference are extended to general L-moments. Improvement of some bounds by alternative choice of centre for the absolute moments is explored. Different bounds are compared numerically. The distribution for which upper bounds for Gini’s mean difference are attained is given. Extension is made to trimmed L-moments and hence to probability weighted moments.

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Publication Details

Journal
Statistics & Probability Letters
Published
2024-08-22
DOI
https://doi.org/10.1016/j.spl.2024.110249
Citations
1
Primary Topic
Financial Risk and Volatility Modeling
Type
article
Field-Weighted Citation Impact
0.54
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article

On absolute moment-based upper bounds for L-moments

N. Balakrishnan, M. C. Jones
1 citations
Statistics & Probability Letters
Financial Risk and Volatility Modeling
0.54
article

On absolute moment-based upper bounds for L-moments

N. Balakrishnan, M. C. Jones
article en
1 citations

Abstract

A number of absolute moment-based upper bounds for Gini’s mean difference are extended to general L-moments. Improvement of some bounds by alternative choice of centre for the absolute moments is explored. Different bounds are compared numerically. The distribution for which upper bounds for Gini’s mean difference are attained is given. Extension is made to trimmed L-moments and hence to probability weighted moments.

Statistics & Probability LettersVol. 216
The Open University (GB), McMaster University (CA)
Openalex Percentile: Top 32%
Financial Risk and Volatility Modeling
0.54
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