Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/26679
Title: | Finite sample behaviour of the mixed moment estimator in dependent frameworks |
Author: | Gomes, M. Ivette Miranda, M. Cristina |
Keywords: | Statistics of extremes Heavytails Dependent models Semi-parametricestimation Mixed moment estimator Monte Carlo Simulation |
Issue Date: | Jun-2009 |
Publisher: | IEEE |
Abstract: | In this paper, via Monte Carlotechniques and for dependent structures, likethe max-autoregressive processes and them-dependent processes, we explore the behaviorof a recently introduced extreme value indexestimator, the mixed moment estimator. Thedependent stationary sequences consideredprovide a wide spectrum of dependency, withan extremal index ranging from a value closeto one(as happens in identicallly distributedsettings, where exceedances of high thresholdsappear isolated)to any value smaller thanone, a situation in which exceedances ofhigh levels appear in clusters of a mean sizeapproximately equal to the reciprocal of thatextremal index. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/26679 |
DOI: | 10.1109/ITI.2009.5196086 |
ISSN: | 1330-1012 |
Publisher Version: | https://ieeexplore.ieee.org/document/5196086 |
Appears in Collections: | ISCA-UA - Artigos |
Files in This Item:
File | Description | Size | Format | |
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ITI_2009.pdf | 317.29 kB | Adobe PDF | ![]() |
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