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Author(s): Lawal Fatai Kolade, Olumi Toba Timothy, Akor Enejo Felix, Mathias Ahiaba, Kabir Jamiu.

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

Page No: 233-246

Journal: African Journal of Mathematics and Statistics Studies (AJMSS)

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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:

Mortality, Stochastic, Lee-Carter, FDTA, Modelling.

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