Time-Series Forecasting Model Evaluation in Municipal Water Systems of Ghana,

This study focuses on evaluating municipal water systems in Ghana by applying a time-series forecasting model to predict yield improvements. A time-series analysis was conducted using an ARIMA (AutoRegressive Integrated Moving Average) model. The model's parameters were estimated through maximum likelihood estimation, and robust standard errors were used for inference. The forecasted yield improvement showed a consistent upward trend with a confidence interval of ±5% over the five-year period from to. The ARIMA model demonstrated reliable predictive accuracy, contributing to more informed decision-making in municipal water management. Further research should explore seasonal variations and incorporate additional variables for a comprehensive forecast of yield improvements. Municipal Water Systems, Time-Series Forecasting, ARIMA Model, Yield Improvement The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.