African Development Communication (Media/Development/Social) | 21 April 2008
Regional Monitoring Networks Efficiency Assessment Using Time-Series Forecasting Models in Ghana,
K, o, f, i, A, g, g, r, e, y, ,, A, m, a, d, u, G, y, a, m, p, o, ,, Y, a, w, A, c, h, e, a, m, p, o, n, g
Abstract
This study examines regional monitoring networks in Ghana to evaluate their efficiency over time. A comprehensive analysis was conducted using ARIMA (AutoRegressive Integrated Moving Average) model to forecast network efficiency trends in Ghana. Robust standard errors were used for inference. The ARIMA model showed a significant upward trend in network performance, with an estimated increase of 15% over the study period. The findings suggest that time-series forecasting can effectively measure and improve the efficiency of regional monitoring networks in Ghana. Future research should explore integrating machine learning models to enhance predictive accuracy. Model estimation used $\hat{\theta}=argmin<em>{\theta}\sum</em>i\ell(y<em>i,f</em>\theta(x<em>i))+\lambda\lVert\theta\rVert</em>2^2$, with performance evaluated using out-of-sample error.