Bayesian Hierarchical Model Evaluation of Municipal Water Systems in Kenyan Municipalities,
Fuente:
Zenodo
Enregistré dans:
| Auteurs principaux: | , |
|---|---|
| Format: | Recurso digital |
| Langue: | anglais |
| Publié: |
Zenodo
2011
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866901275426160640 |
|---|---|
| author | Kibet, Omar Muthomi, Ephraim |
| author_facet | Kibet, Omar Muthomi, Ephraim |
| contents | <p>The evaluation of municipal water systems in Kenyan municipalities requires robust statistical methods to assess their performance over time. A Bayesian hierarchical model was applied to analyse data from multiple municipalities, accounting for both within- and municipality variability. The model revealed significant differences in water system efficiency among municipalities, with some showing up to a 25% improvement over others. Bayesian hierarchical modelling provided nuanced insights into municipal water systems' performance, highlighting areas for improvement. Policymakers should prioritise interventions based on the model's findings to enhance water system efficiency and ensure equitable access across municipalities. municipal water systems, Bayesian hierarchical models, clinical outcomes analysis, Kenyan municipalities Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18927896 |
| institution | Zenodo |
| language | eng |
| publishDate | 2011 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Bayesian Hierarchical Model Evaluation of Municipal Water Systems in Kenyan Municipalities, Kibet, Omar Muthomi, Ephraim Kenya Bayesian Hierarchical Models Spatial Statistics Methodology Public Health Analytics Geographic Information Systems Monte Carlo Methods <p>The evaluation of municipal water systems in Kenyan municipalities requires robust statistical methods to assess their performance over time. A Bayesian hierarchical model was applied to analyse data from multiple municipalities, accounting for both within- and municipality variability. The model revealed significant differences in water system efficiency among municipalities, with some showing up to a 25% improvement over others. Bayesian hierarchical modelling provided nuanced insights into municipal water systems' performance, highlighting areas for improvement. Policymakers should prioritise interventions based on the model's findings to enhance water system efficiency and ensure equitable access across municipalities. municipal water systems, Bayesian hierarchical models, clinical outcomes analysis, Kenyan municipalities Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.</p> |
| title | Bayesian Hierarchical Model Evaluation of Municipal Water Systems in Kenyan Municipalities, |
| topic | Kenya Bayesian Hierarchical Models Spatial Statistics Methodology Public Health Analytics Geographic Information Systems Monte Carlo Methods |
| url | https://doi.org/10.5281/zenodo.18927896 |