Comparability of Two Stochastic Models in the Analysis of the Nigerian Female Mortality.

Lawal Fatai Kolade; Olumi Toba Timothy; Akor Enejo Felix; Mathias Ahiaba; Kabir Jamiu

doi:10.52589/AJMSS-4I8J4GJK

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Comparability of Two Stochastic Models in the Analysis of the Nigerian Female Mortality.

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Publication Date: 2025-09-02

DOI: 10.52589/AJMSS-4I8J4GJK

Volume/Issue: Volume 8, Issue 3 (2025)

Page No: 233 - 246

Journal: African Journal of Mathematics and Statistics Studies

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Abstract:

The study examine the strength of two stochastic models, the Lee Carter model and Functional Data Time Series Analysis in modelling Nigeria Female Mortality. The data used for the analysis were obtained from Nigeria Bureau of Statistics from 1998-2024. Based on various errors of measurement, it was discovered that the Functional Time series Data Analysis (FDTA) performs better in the modelling of Nigeria Female Mortality.

Keywords:MortalityStochasticLee-CarterFDTAModelling.

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All articles are published open access under the Creative Commons Attribution 4.0 International (CC BY 4.0) licence, which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, including for commercial purposes, provided appropriate credit is given to the original author(s) and source.

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Copyrights

Authors retain copyright in their articles and have unrestricted rights to reuse, republish, archive, share, and distribute their work after publication.
All articles are published open access under the Creative Commons Attribution 4.0 International (CC BY 4.0) licence, which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, including for commercial purposes, provided appropriate credit is given to the original author(s) and source.