Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal ESTIMASI: Journal of Statistics and Its Application
Lasisi, Taiwo Abideen
Unknown Affiliation
Mathematics

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Nigerian Population Growth Modelling and Forecasting using Univariate Time series model Taiwo, Abass Ishola; Titilola, A A; Olatayo, Timothy Olabisi; Lasisi, Taiwo Abideen
ESTIMASI: Journal of Statistics and Its Application Vol. 6, No. 1, Januari, 2025 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v6i1.34349

Abstract

The Nigerian population is growing rapidly, and this poses significant challenge to human existence. To have an insight, Autoregressive Integrated Moving Average (ARIMA) model was used to model and predict population growth. The results showed a yearly population mean of 99,611,692 with a standard deviation of 53,188,740. After estimation, the ARIMA(3,2,1) model was chosen for having lowest Akaike and Schwarz information criterion with the adequacy of the model attained using the Ljung-Box Statistic Autocorrelation and partial autocorrelation functions of the residuals. Coefficient and adjusted coefficient of determinations showed the model has a strong predictive accuracy, with the forecast indicating a continuous population growth increase of over 5 million annually. Conclusively, Nigerian government must plan how to curtail this explosive growth expected at over 418 million by 2050.
Co-Authors Olatayo, Timothy Olabisi Taiwo, Abass Ishola Titilola, A A