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March 14, 2026Open Access

A Time-Series Forecasting Model for Yield Improvement in Nigerian Transport Maintenance Depot Systems: A Policy Analysis, 2000–2026

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Authors

ASAmina SuleimanAAA E AdeyemiCOChinwe Okonkwo

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Overview

Policy analysis develops a forecasting model to improve transport depot yield in Nigeria, suggesting robust investment strategies.

Key Points

  • This analysis aims to create a time-series forecasting model to improve the efficiency of transport maintenance depots in Nigeria.
  • Used a Seasonal Autoregressive Integrated Moving Average with exogenous variables (SARIMAX) model.
  • Estimated model parameters using maximum likelihood with adjustments for heteroskedasticity.
  • Incorporated policy intervention dummies into the forecasting model.
  • Forecasts indicate a significant improvement in depot yield with sustained capital investment.
  • A 15% increase in targeted funding is linked with a forecasted 22% increase in system output.
  • Predicted system output improvements fall within an 18% to 26% prediction interval.

Cite This Study

Suleiman et al. (2016) studied this question.

synapsesocial.com/papers/69b4fc33b39f7826a300cf13https://doi.org/10.5281/zenodo.18972335
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Time-Series Forecasting Model for Depot Yield Improvement: A Policy Analysis of Rwandan Transport Maintenance Systems (2000–2026)2009
  2. 2Methodological Evaluation and Time-Series Forecasting for Yield Improvement in Senegalese Transport Maintenance Depots2007
  3. 3A Time-Series Forecasting Model for Yield Improvement in Rwandan Transport Maintenance Depot Systems: A Methodological Evaluation (2000–2026)2000
  4. 4A Time-Series Forecasting Model for Yield Improvement in Nigeria's Industrial Machinery Fleets: A Policy Analysis for Strategic Maintenance Optimisation2006
  5. 5A Time-Series Forecasting Model for Yield Improvement in Ugandan Transport Maintenance Depot Systems: A Methodological Evaluation2018