Reduced-bias estimator of the Proportional Hazard Premium for heavy-tailed distributions

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<dc:creator>Deme, El Hadji</dc:creator>
<dc:date>2013-05-06</dc:date>
<dc:description xml:lang="es">Sumario: Many different premium principles have been proposed in the literature. In this paper, we focus on the Proportional Hazard Premium. Its asymptotic normality has been established in the literature under suitable conditions which are not fulfilled in the case of heavy-tailed distributions. We thus focus on this framework and propose a reduced-bias approach for the classical estimators. A small simulation study is proposed to illustrate the efficiency of our approach.</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/143620.do</dc:identifier>
<dc:language>spa</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Reduced-bias estimator of the Proportional Hazard Premium for heavy-tailed distributions</dc:title>
<dc:relation xml:lang="es">En: Insurance : mathematics and economics. - Oxford : Elsevier, 1990- = ISSN 0167-6687. - 06/05/2013 Volumen 52 Número 3 - mayo 2013 </dc:relation>
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