Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , |
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| Μορφή: | Recurso digital |
| Γλώσσα: | Αγγλικά |
| Έκδοση: |
Zenodo
2014
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| Θέματα: | |
| Διαθέσιμο Online: | https://doi.org/10.5281/zenodo.19093943 |
| Ετικέτες: |
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Πίνακας περιεχομένων:
- <p>This study addresses a current research gap in Computer Science concerning Methodological evaluation of municipal water systems systems in South Africa: Bayesian hierarchical model for measuring risk reduction in South Africa. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. 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 municipal water systems systems in South Africa: Bayesian hierarchical model for measuring risk reduction, South Africa, Africa, Computer Science, methodology paper This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. 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>