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

A. S. Praveena & S. Ravi

Mathematical Methods of Statistics2025https://doi.org/10.3103/s1066530724600295article
ABDC B
Weight
0.50

What the paper says

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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https://doi.org/https://doi.org/10.3103/s1066530724600295

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@article{a.2025,
  title        = {{On Standard Log-Fréchet and Log-log-Fréchet Laws}},
  author       = {A. S. Praveena & S. Ravi},
  journal      = {Mathematical Methods of Statistics},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.3103/s1066530724600295},
}

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

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.