Debón Aucejo, AM.; Montes-Suay, F.; Sala-Garrido, R. (2006). A Comparison of Nonparametric Methods in the Graduation of Mortality: Application to Data from the Valencia Region (Spain). International Statistical Review. 74(2):215-233. https://doi.org/10.1111/j.1751-5823.2006.tb00171.x
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/150639
Title:
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A Comparison of Nonparametric Methods in the Graduation of Mortality: Application to Data from the Valencia Region (Spain)
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Author:
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Debón Aucejo, Ana María
Montes-Suay, Francisco
Sala-Garrido, Ramón
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UPV Unit:
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Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
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Issued date:
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Abstract:
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[EN] The nonparametric graduation of mortality data aims to estimate death rates by carrying out a smoothing of the crude rates obtained directly from original data. The main difference with regard to parametric models is ...[+]
[EN] The nonparametric graduation of mortality data aims to estimate death rates by carrying out a smoothing of the crude rates obtained directly from original data. The main difference with regard to parametric models is that the assumption of an age-dependent function is unnecessary, which is advantageous when the information behind the model is unknown, as one cause of error is often the choice of an inappropriate model. This paper reviews the various alternatives and presents their application to mortality data from the Valencia Region, Spain. The comparison leads us to the conclusion that the best model is a smoothing by means of Generalised Additive Models (GAM) with splines. The most interesting part of this paper is the development of a plan that can be applied to mortality data for a wide range of age groups in any geographical area, allowing the most appropriate table to be chosen for the data in hand.
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Subjects:
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GAM
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Kernel smoothing
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Life tables
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LOESS
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Splines
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Copyrigths:
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Reserva de todos los derechos
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Source:
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International Statistical Review. (issn:
0306-7734
)
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DOI:
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10.1111/j.1751-5823.2006.tb00171.x
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Publisher:
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Blackwell Publishing
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Publisher version:
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https://doi.org/10.1111/j.1751-5823.2006.tb00171.x
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Project ID:
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GV/GRUPOS03/189
MEC/MTM-2004-06231
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Thanks:
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The authors are indebted to the anonymous referees whose suggestions improved the original manuscript. This work was partially supported by a grant from MEyC (Ministerio de Educación y Ciencia, Spain, project MTM-2004-06231).The ...[+]
The authors are indebted to the anonymous referees whose suggestions improved the original manuscript. This work was partially supported by a grant from MEyC (Ministerio de Educación y Ciencia, Spain, project MTM-2004-06231).The research of Francisco Montes has also been partially supported by a grant from DGITT (Direcció General d Investigació i Transferència Tecnològica de la Generalitat Valenciana, Project GRUPOS03/189).
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Type:
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Artículo
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