A Lynden-Bell integral estimator for extremes of randomly truncated data
In the framework of heavy-tailed randomly truncated data, a new estimator is proposed for the extreme value index in a natural Lynden-Bell integral form. Extreme quantiles are also estimated, and the asymptotic normality is established under mild assumptions.
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Veröffentlicht in: | Statistics & probability letters 2016-02, Vol.109, p.106-117 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | In the framework of heavy-tailed randomly truncated data, a new estimator is proposed for the extreme value index in a natural Lynden-Bell integral form. Extreme quantiles are also estimated, and the asymptotic normality is established under mild assumptions. |
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ISSN: | 0167-7152 1879-2103 |
DOI: | 10.1016/j.spl.2015.11.011 |