On Standard Log-Fréchet and Log-log-Fréchet Laws

As the well known extreme value law, the Fréchet law, is the standard example of ‘‘heavy tail,’’ the log-Fréchet and the log-log-Fréchet laws are standard examples of ‘‘super heavy tails.’’ New characterizations of max-domains of attraction of standard log-Fréchet and log-log-Fréchet laws, based on integral representations, are obtained in this article. Several illustrations are discussed including an example involving the Tracy-Widom distribution.

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Publication Details

Journal
Mathematical Methods of Statistics
Published
2025-03-01
DOI
https://doi.org/10.3103/s1066530724600295
Primary Topic
Random Matrices and Applications
Type
article
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article

On Standard Log-Fréchet and Log-log-Fréchet Laws

A. S. Praveena, S. Ravi
Mathematical Methods of Statistics
Random Matrices and Applications
article

On Standard Log-Fréchet and Log-log-Fréchet Laws

A. S. Praveena, S. Ravi
article en

Abstract

As the well known extreme value law, the Fréchet law, is the standard example of ‘‘heavy tail,’’ the log-Fréchet and the log-log-Fréchet laws are standard examples of ‘‘super heavy tails.’’ New characterizations of max-domains of attraction of standard log-Fréchet and log-log-Fréchet laws, based on integral representations, are obtained in this article. Several illustrations are discussed including an example involving the Tracy-Widom distribution.

Mathematical Methods of StatisticsVol. 34(1)
University of Mysore (IN)
Openalex Percentile: Top 87%
Random Matrices and Applications
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On Standard Log-Fréchet and Log-log-Fréchet Laws — A. S. Praveena, S. Ravi · Mathematical Methods of Statistics (2025) | TGRS Research Map | TGRS