On The aggregation of experts' information in Bonus-Malus Systems

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<rdf:Description>
<dc:creator>Blanco, Víctor</dc:creator>
<dc:creator>Pérez-Sánchez, José M.</dc:creator>
<dc:date>2018-01-01</dc:date>
<dc:description xml:lang="es">Sumario: In this paper, we propose a new family of premium calculation principles based on the use of prior information from different sources. Under this framework and based on the use of Ordered Weighted Averaging operators, we provide alternative collective and Bayes premiums and describe some approaches to efficiently compute them. Several examples are detailed to illustrate the performance of the new methods.</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/163493.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Cálculo actuarial</dc:subject>
<dc:subject xml:lang="es">Bonus-malus</dc:subject>
<dc:subject xml:lang="es">Seguros no vida</dc:subject>
<dc:subject xml:lang="es">Cálculo de la prima</dc:subject>
<dc:subject xml:lang="es">Matemática del seguro</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">On The aggregation of experts' information in Bonus-Malus Systems</dc:title>
<dc:relation xml:lang="es">En: Astin bulletin. - Belgium : ASTIN and AFIR Sections of the International Actuarial Association = ISSN 0515-0361. - 01/01/2018 Volumen 48 Número 1 - enero 2018 , p. 311-337</dc:relation>
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