Claims reserving in the hierarchical generalized linear model framework

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<title>Claims reserving in the hierarchical generalized linear model framework</title>
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<namePart>Gigante, Patrizia</namePart>
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<abstract displayLabel="Summary">We consider an approach based on the hierarchical generalized linear models and h-likelihood estimators for claims reserving in non-life insurance. The hierarchical generalized linear models represent a class of flexible mixture models that extend the generalized linear models and the generalized linear mixed models. The fitting algorithm and the inferential analyses can be obtained by applying standard procedures to one or more generalized linear models, suitably defined. Our study examines how the models can be used to obtain predictors of the claims reserves and to determine their prediction uncertainty.</abstract>
<note type="statement of responsibility">Patrizia Gigante, Liviana Picech,  Luciano Sigalotti</note>
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<url displayLabel="MÁS INFORMACIÓN" usage="primary display">mailto:centrodocumentacion@fundacionmapfre.org?subject=Consulta%20de%20una%20publicaci%C3%B3n%20&body=Necesito%20m%C3%A1s%20informaci%C3%B3n%20sobre%20este%20documento%3A%20%0A%0A%5Banote%20aqu%C3%AD%20el%20titulo%20completo%20del%20documento%20del%20que%20desea%20informaci%C3%B3n%20y%20nos%20pondremos%20en%20contacto%20con%20usted%5D%20%0A%0AGracias%20%0A</url>
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<title>Insurance : mathematics and economics</title>
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<publisher>Oxford : Elsevier, 1990-</publisher>
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<identifier type="issn">0167-6687</identifier>
<identifier type="local">MAP20077100574</identifier>
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<text>04/03/2013 Volumen 52 Número 2 - marzo 2013 </text>
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