Application of Functional Data Time Series Analysis in Modelling Nigeria Male Mortality

DOI

10.2991/978-94-6463-970-4_6How to use a DOI?

Keywords

Mortality; Stochastic; Lee-Carter; FDTSA; Modeling

Abstract

This study evaluates the efficacy of two stochastic models, the Lee-Carter model and Functional Data Time Series Analysis (FDTSA), in modeling male mortality in Nigeria. Data for this analysis were sourced from the Nigeria Bureau of Statistics, covering the period from 1998 to 2024. Through various error measurement assessments, it was determined that FDTSA outperforms the Lee-Carter model in accurately modeling male mortality in Nigeria.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Lawal Fatai Kolade
PY  - 2025
DA  - 2025/12/31
TI  - Application of Functional Data Time Series Analysis in Modelling Nigeria Male Mortality
BT  - Proceedings of the International Conference on Engineering, Science, and Urban Sustainability (ICESUS 2025)
PB  - Atlantis Press
SP  - 60
EP  - 72
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-970-4_6
DO  - 10.2991/978-94-6463-970-4_6
ID  - Kolade2025
ER  -