Dual Divergence Estimators of the Tail Index

Joint Authors

Bouzebda, Salim
Cherfi, Mohamed

Source

ISRN Probability and Statistics

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-11-01

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Mathematics

Abstract EN

The main purpose of the present paper is to propose a new estimator of the tail index using ϕ-divergences and the duality technique.

These estimators are explored with respect to robustness through the influence function approach.

The empirical performances of the proposed estimators are illustrated by simulation.

American Psychological Association (APA)

Bouzebda, Salim& Cherfi, Mohamed. 2012. Dual Divergence Estimators of the Tail Index. ISRN Probability and Statistics،Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-495387

Modern Language Association (MLA)

Bouzebda, Salim& Cherfi, Mohamed. Dual Divergence Estimators of the Tail Index. ISRN Probability and Statistics No. 2012 (2012), pp.1-14.
https://search.emarefa.net/detail/BIM-495387

American Medical Association (AMA)

Bouzebda, Salim& Cherfi, Mohamed. Dual Divergence Estimators of the Tail Index. ISRN Probability and Statistics. 2012. Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-495387

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-495387