AccScience Publishing / IJPS / Volume 2 / Issue 1 / DOI: 10.18063/IJPS.2016.01.001
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Nonparametric graduation techniques as a common framework for the description of demographic patterns

Anastasia Kostaki1 Javier M. Moguerza2 Alberto Olivares3 Stelios Psarakis4
© Invalid date by the Authors. Licensee AccScience Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC BY-NC 4.0) ( )

The graduation of age-specific demographic rates is a subject of special interest in many dis-ciplines as demography, biostatistics, actuarial practice, and social planning. For estimating the unknown age-specific probabilities of the various demographic phenomena, some graduation technique must be applied to the corresponding empirical rates, under the assumption that the true probabilities follow a smooth pattern through age. The classical way for graduating demographic rates is parametric modelling. However, for graduation purposes, nonparametric techniques can also be adapted. This work provides an adaptation, and an evaluation of kernels and Support Vector Machines (SVM) in the context of graduation of demographic rates.

mortality pattern
fertility pattern
Support Vector Machines

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Conflict of interest
The authors have no conflict of interest to declare.
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International Journal of Population Studies, Electronic ISSN: 2424-8606 Print ISSN: 2424-8150, Published by AccScience Publishing