African Nanotechnology Applications (Technology)

Advancing Scholarship Across the Continent

Vol. 2002 No. 1 (2002)

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Power-Distribution Equipment System Reliability in Senegal: A Panel Data Assessment

Mama Diop, African Institute for Mathematical Sciences (AIMS) Senegal Abdi Omar, African Institute for Mathematical Sciences (AIMS) Senegal
DOI: 10.5281/zenodo.18751259
Published: February 20, 2002

Abstract

This study addresses a current research gap in Engineering concerning Methodological evaluation of power-distribution equipment systems in Senegal: panel-data estimation for measuring system reliability in Senegal. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of power-distribution equipment systems in Senegal: panel-data estimation for measuring system reliability, Senegal, Africa, Engineering, original research This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.

How to Cite

Mama Diop, Abdi Omar (2002). Power-Distribution Equipment System Reliability in Senegal: A Panel Data Assessment. African Nanotechnology Applications (Technology), Vol. 2002 No. 1 (2002). https://doi.org/10.5281/zenodo.18751259

Keywords

Sub-SaharanGeographic Information SystemsMonte Carlo SimulationTime-Series AnalysisEconometric ModellingGeostatisticsEnergy Infrastructure Assessment

References