PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 13, 20260 citationsOpen Access

Regional Monitoring Networks Reliability Assessment in Nigeria: A Multilevel Regression Analysis Revisited

View Full Paper
OAObiakor Chukwuebuka AkuchieCNC. O. NwosuECEgwemini John Chinedu

Key Points

  • Assess the reliability of regional monitoring networks in Nigeria and identify variations across regions.
  • Analyzed data from multiple monitoring stations across Nigeria
  • Utilized a multilevel regression model to account for fixed and random effects
  • Computed a robustness coefficient with a 95% confidence interval
  • Regional monitoring networks were found to be generally reliable
  • Performance varied significantly across different regions
  • Robustness coefficient estimated between 0.78 and 0.82
  • Recommended tailored interventions for underperforming regions

Abstract

The reliability of regional monitoring networks in Nigeria has been a subject of interest for assessing environmental impacts on particle physics research. A multilevel regression model was employed to analyse data from multiple monitoring stations distributed across Nigeria. The model accounts for both fixed effects (station-specific characteristics) and random effects (geographical variations). Y₈₉ = eta₀ + eta₁X₈ + eta₂Dⱼ + uᵢ where Y₈₉ represents the observed reliability score at station j in region i, Xᵢ is a vector of fixed effects, and Dⱼ indicates whether the station is in region j. The model estimated a robustness coefficient with 95% confidence interval (0. 78, 0. 82). The multilevel regression analysis revealed that regional monitoring networks are generally reliable but exhibit varying levels of performance across different regions. Tailored interventions should be implemented to improve the reliability of the monitoring systems in underperforming regions.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Akuchie et al. (2012) studied this question.

synapsesocial.com/papers/69b3ac1d02a1e69014ccd88fhttps://doi.org/10.5281/zenodo.18957173
Ask AI
Helpful
Bookmark
Share
View Full Paper