Rodionov, Igor (2024) Location- and scale-free procedures for distinguishing between distribution tail models. Electronic Journal of Statistics, 18 (2). pp. 5330-5369. DOI https://doi.org/10.1214/24-EJS2328
Rodionov, Igor (2024) Location- and scale-free procedures for distinguishing between distribution tail models. Electronic Journal of Statistics, 18 (2). pp. 5330-5369. DOI https://doi.org/10.1214/24-EJS2328
Rodionov, Igor (2024) Location- and scale-free procedures for distinguishing between distribution tail models. Electronic Journal of Statistics, 18 (2). pp. 5330-5369. DOI https://doi.org/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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Distribution tail, extremes, Gumbel maximum domain of attraction, hypothesis testing, model selection |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Mathematics, Statistics and Actuarial Science, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 21 Apr 2026 14:46 |
| Last Modified: | 21 Apr 2026 14:46 |
| URI: | http://repository.essex.ac.uk/id/eprint/39663 |
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