A Model for Forecasting Inmate Population in Correctional Centres Using Time Series

Authors

  • Imoni, S. O. Federal University Lokoja
  • Akinyemi, O. Ekiti State University
  • Amodu, A.S. Federal University Lokoja

Keywords:

crime, correctional service, forecast, trend, arima

Abstract

The rising urge by the government in maintaining law and order to reduce or prevent crime has led to the need to get accurate data on all crimes for assessment. This will guide the government and policy formulators on the status of crime. In this study, a time series model for forecasting prison inmates’ population using data from Idah zonal correctional centre, Kogi State, Nigeria is presented. The result shows a relatively downward trend for awaiting inmate
and on average, a linear trend for convicted inmates.

Author Biographies

Imoni, S. O., Federal University Lokoja

Department of Mathematical Sciences, Federal University Lokoja, Nigeria

Akinyemi, O., Ekiti State University

Department of Statistics, Ekiti State University, Ado-Ekiti, Nigeria

Amodu, A.S., Federal University Lokoja

Department of Mathematical Sciences, Federal University Lokoja, Nigeria

Downloads

Published

2020-10-08

How to Cite

Imoni, S. O., Akinyemi, O., & Amodu, A.S. (2020). A Model for Forecasting Inmate Population in Correctional Centres Using Time Series. International Journal of Science for Global Sustainability, 6(3), 6. Retrieved from https://fugus-ijsgs.com.ng/index.php/ijsgs/article/view/100