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.

Extreme value index estimation by means of an inequality curve / Taufer, E.; Santi, F.; Novi Inverardi, P. L.; Espa, G.; Dickson, M. M.. - In: MATHEMATICS. - ISSN 2227-7390. - ELETTRONICO. - 8:10(2020), pp. 1-17. [10.3390/math8101834]

Extreme value index estimation by means of an inequality curve

Taufer E.;Santi F.;Novi Inverardi P. L.;Espa G.;Dickson M. M.
2020-01-01

Abstract

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.
2020
10
Taufer, E.; Santi, F.; Novi Inverardi, P. L.; Espa, G.; Dickson, M. M.
Extreme value index estimation by means of an inequality curve / Taufer, E.; Santi, F.; Novi Inverardi, P. L.; Espa, G.; Dickson, M. M.. - In: MATHEMATICS. - ISSN 2227-7390. - ELETTRONICO. - 8:10(2020), pp. 1-17. [10.3390/math8101834]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/279653
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