Goodness of fit in models for mortality data

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dc.contributor.author Camarda, Carlo Giovanni
dc.contributor.author Durbán, María
dc.contributor.editor Universidad Carlos III de Madrid. Departamento de Estadística
dc.date.accessioned 2008-09-03T11:12:05Z
dc.date.available 2008-09-03T11:12:05Z
dc.date.issued 2008-09
dc.identifier.uri http://hdl.handle.net/10016/2910
dc.description.abstract Mortality data on an aggregate level are characterized by very large sample sizes. For this reason, uninformative outcomes are evident in common Goodness-of-Fit measures. In this paper we propose a new measure that allows comparison of different mortality models even for large sample sizes. Particularly, we develop a measure which uses a null model specifically designed for mortality data. Several simulation studies and actual applications will demonstrate the performances of this new measure with special emphasis on demographic models and Pspline approach.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.relation.ispartofseries UC3M Working papers. Statistics and Econometrics
dc.relation.ispartofseries 08-09
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Goodness of fit
dc.subject.other P-splines
dc.subject.other R2
dc.subject.other Mortality
dc.title Goodness of fit in models for mortality data
dc.type workingPaper
dc.subject.eciencia Estadística
dc.rights.accessRights openAccess
dc.identifier.repec ws083909
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