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Extreme Value Index Estimation by Means of an Inequality Curve
oleh: Emanuele Taufer, Flavio Santi, Pier Luigi Novi Inverardi, Giuseppe Espa, Maria Michela Dickson
Format: | Article |
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Diterbitkan: | MDPI AG 2020-10-01 |
Deskripsi
A characterizing property of Zenga (1984) inequality curve is exploited in order to develop an estimator for the extreme value index of a distribution with regularly varying tail. The approach proposed here has a nice graphical interpretation which provides a powerful method for the analysis of the tail of a distribution. The properties of the proposed estimation strategy are analysed theoretically and by means of simulations. The usefulness of the method will be tested also on real data sets.