Estimation of the tail-index in a conditional location-scale family of heavy-tailed distributions
We introduce a location-scale model for conditional heavy-tailed distributions when the covariate is deterministic. First, nonparametric estimators of the location and scale functions are introduced. Second, an estimator of the conditional extreme-value index is derived. The asymptotic properties of...
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Veröffentlicht in: | Dependence modeling 2019-01, Vol.7 (1), p.394-417 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | We introduce a location-scale model for conditional heavy-tailed distributions when the covariate is deterministic. First, nonparametric estimators of the location and scale functions are introduced. Second, an estimator of the conditional extreme-value index is derived. The asymptotic properties of the estimators are established under mild assumptions and their finite sample properties are illustrated both on simulated and real data. |
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ISSN: | 2300-2298 2300-2298 |
DOI: | 10.1515/demo-2019-0021 |