<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Caeiro, Frederico</style></author><author><style face="normal" font="default" size="100%">Gomes, M. Ivette</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Revisiting the maximum likelihood estimation of a positive extreme value index</style></title><secondary-title><style face="normal" font="default" size="100%">Journal Of Statistical Theory And PracticeJournal Of Statistical Theory And Practice</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">bias estimation</style></keyword><keyword><style  face="normal" font="default" size="100%">heavy tails</style></keyword><keyword><style  face="normal" font="default" size="100%">Semiparametric estimation</style></keyword><keyword><style  face="normal" font="default" size="100%">Statistics of extremes</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2015/1/13</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.scopus.com/inward/record.url?scp=84909966167&amp;partnerID=8YFLogxK</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">9</style></volume><pages><style face="normal" font="default" size="100%">200 - 218</style></pages><isbn><style face="normal" font="default" size="100%">1559-8608</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In this article, we revisit Feuerverger and Halls maximum likelihood estimation of the extreme value index. Based on those estimators we propose new estimators that have the smallest possible asymptotic variance, equal to the asymptotic variance of the Hill estimator. The full asymptotic distributional properties of the estimators are derived under a general third-order framework for heavy tails. Applications to a real data set and to simulated data are also presented.In this article, we revisit Feuerverger and Halls maximum likelihood estimation of the extreme value index. Based on those estimators we propose new estimators that have the smallest possible asymptotic variance, equal to the asymptotic variance of the Hill estimator. The full asymptotic distributional properties of the estimators are derived under a general third-order framework for heavy tails. Applications to a real data set and to simulated data are also presented.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><notes><style face="normal" font="default" size="100%">&lt;p&gt;Sem PDF.&lt;/p&gt;
</style></notes><custom2><style face="normal" font="default" size="100%">10.1080/15598608.2014.909754</style></custom2></record></records></xml>