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August 2006 A Comparison of Nonparametric Methods in the Graduation of Mortality: Application to Data from the Valencia Region (Spain)
Ana Debón, Francisco Montes, Ramón Sala
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Internat. Statist. Rev. 74(2): 215-233 (August 2006).

Abstract

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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Ana Debón. Francisco Montes. Ramón Sala. "A Comparison of Nonparametric Methods in the Graduation of Mortality: Application to Data from the Valencia Region (Spain)." Internat. Statist. Rev. 74 (2) 215 - 233, August 2006.

Information

Published: August 2006
First available in Project Euclid: 24 July 2006

zbMATH: 1134.62369

Keywords: GAM , kernel smoothing , Life tables , LOESS , splines

Rights: Copyright © 2006 International Statistical Institute

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Vol.74 • No. 2 • August 2006
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