A quantile is a popular performance measure for stochastic system to evaluate its variability and risk. To reduce the risk, selecting actions that minimize tail quantiles of some loss distributions typically interest decision makers. When distribution observed via simulations, evaluating optimizing can be challenging, especially when simulations are expensive as it may cost large number simulat...

estimating unsampled points for varying sampling intervals and densities was calculated (Webster et al., 1989). Pasturelands are inherently variable. It is this variability that makes The reflectance data measured in the Webster et al. sampling as well as characterizing an entire pasture difficult. Measurement of plant canopy reflectance with a ground-based radiometer (1989) study was optimal i...

Abstract Hurricane-driven storm surge is one of the most deadly and costly natural disasters, making precise quantification hazard great importance. Surge often performed through physics-based computer models surges. Such can be implemented with a wide range fidelity levels, computational burdens varying by several orders magnitude due to nature system. The threat posed makes greater highly des...

A linear estimator, cokriging, was applied to estimate hydraulic conductivity, using pressure head, solute concentration, and solute arrival time measurements in a hypothetical, heterogeneous vadose zone under steady state infiltrations at different degrees of saturation. Covariances and cross-covariances required by the estimator were determined by a first-order approximation in which sensitiv...

The geomagnetic field at the earth’s surface changes over time, including in Indonesia. An accurate regional model is needed. Indonesia conducted just 49 repeat station measurements (out of 68) epoch 2020.0 due to COVID-19 pandemic. was modeled using collocated cokriging (CC) method, which proven be accurate. results show high accuracy with 1.18 minutes root mean square error (RMSE) for declina...

Abstract Traditional and modern spatial prediction techniques are applied in the analysis of water quality, evidencing a new approach that allows modeling hydrogeological system central area Boyacá, Colombia. The objective is to determine quality status groundwater for human consumption. In process, predictions were made based on frequentist methods (kriging, cokriging) Bayesian (R-INLA stochas...

Soil respiration is a significant contributor to the global emissions of CO2 and governed by many soil factors. Reliable estimates emission on different scales (e.g., field, regional level) are hard obtain due expressed spatial temporal variability flux. This study aims investigate flux properties in soybean cropland Fluvisols (Croatia). The field measurements samples were taken regular samplin...