The Lognormal Distribution Is Characterized by Its Integer Moments

The lognormal moment sequence is considered. Using the fractional moments technique, it is first proved that the lognormal has the largest differential entropy among the infinite positively supported probability densities with the same lognormal-moments. Then, relying on previous theoretical results on entropy convergence obtained by the authors concerning the indeterminate Stieltjes moment problem, the lognormal distribution is accurately reconstructed by the maximum entropy technique using only its integer moment sequence, although it is not uniquely determined by moments.

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Publication Details

Journal
Mathematics
Published
2024-12-04
DOI
https://doi.org/10.3390/math12233830
Citations
2
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.79
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article

The Lognormal Distribution Is Characterized by Its Integer Moments

Pier Luigi Novi Inverardi, Aldo Tagliani
2 citations
Mathematics
Fractional Differential Equations Solutions
0.79
article

The Lognormal Distribution Is Characterized by Its Integer Moments

Pier Luigi Novi Inverardi, Aldo Tagliani
article en
2 citations

Abstract

The lognormal moment sequence is considered. Using the fractional moments technique, it is first proved that the lognormal has the largest differential entropy among the infinite positively supported probability densities with the same lognormal-moments. Then, relying on previous theoretical results on entropy convergence obtained by the authors concerning the indeterminate Stieltjes moment problem, the lognormal distribution is accurately reconstructed by the maximum entropy technique using only its integer moment sequence, although it is not uniquely determined by moments.

MathematicsVol. 12(23)
University of Trento (IT)
Reduced inequalities
Openalex Percentile: Top 29%
Fractional Differential Equations Solutions
0.79
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