Weighted Cumulative Information Generating Functions

Abstract The weighted cumulative information generating function (wcigf) is introduced and interrelations with various weighted and non-weighted measures of uncertainty are explored in detail. It turns out that the wcigf represents the generating function of several weighted cumulative versions of the Shannon entropy. Additionally, several properties and representations of wcigf are shown, and connections with order statistics are studied. Further applications arise by defining weighted efficiency Gini-based indices for systems in terms of ratios of wcigf’s.

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Publication Details

Journal
Methodology And Computing In Applied Probability
Published
2026-08-24
DOI
https://doi.org/10.1007/s11009-026-10293-8
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
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article

Weighted Cumulative Information Generating Functions

Udo Kamps, Marco Capaldo, Maria Kateri
Methodology And Computing In Applied Probability
Statistical Distribution Estimation and Applications
article

Weighted Cumulative Information Generating Functions

Udo Kamps, Marco Capaldo, Maria Kateri
article en

Abstract

Abstract The weighted cumulative information generating function (wcigf) is introduced and interrelations with various weighted and non-weighted measures of uncertainty are explored in detail. It turns out that the wcigf represents the generating function of several weighted cumulative versions of the Shannon entropy. Additionally, several properties and representations of wcigf are shown, and connections with order statistics are studied. Further applications arise by defining weighted efficiency Gini-based indices for systems in terms of ratios of wcigf’s.

Methodology And Computing In Applied ProbabilityVol. 28(3)
RWTH Aachen University (DE)
Openalex Percentile: Top 7%
Statistical Distribution Estimation and Applications
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