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2024 Location- and scale-free procedures for distinguishing between distribution tail models
Igor Rodionov
Author Affiliations +
Electron. J. Statist. 18(2): 5330-5369 (2024). DOI: 10.1214/24-EJS2328

Abstract

We consider distinguishing between two distribution tail models when tails of one model are lighter (or heavier) than those of the other. Two procedures are proposed: one scale-free and one location- and scale-free, and their asymptotic properties are established. We show the advantage of using these procedures for distinguishing between certain tail models in comparison with the tests proposed in the literature by simulation and apply them to data on daily precipitation in Green Bay, US and Jena, Germany.

Acknowledgments

The author wants to sincerely thank Anthony C. Davison for his valuable comments and advice, which made the manuscript much better.

Citation

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Igor Rodionov. "Location- and scale-free procedures for distinguishing between distribution tail models." Electron. J. Statist. 18 (2) 5330 - 5369, 2024. https://doi.org/10.1214/24-EJS2328

Information

Received: 1 March 2024; Published: 2024
First available in Project Euclid: 13 December 2024

Digital Object Identifier: 10.1214/24-EJS2328

Subjects:
Primary: 62G32

Keywords: distribution tail , Extremes , Gumbel maximum domain of attraction , Hypothesis testing , Model selection

Vol.18 • No. 2 • 2024
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