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Hydrogeological Modeling: Frequentist vs Bayesian by carles1972mm is a document available to read on EtoBox.

What is Hydrogeological Modeling: Frequentist vs Bayesian about?

This study compares frequentist and Bayesian statistical methods for hydrogeological spatial modeling, focusing on groundwater quality in Boyacá, Colombia. It evaluates the effectiveness of kriging and Bayesian methods, particularly R-INLA, in predicting water quality indices and assessing aquifer vulnerability using the DRASTIC method. The findings aim to enhance water resource management through more accurate and cost-effective modeling techniques.

Author

carles1972mm

Language

EN