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This study combined the best components of these methods by using regression kriging: in data-sparse areas the recharge is upscaled using global regression equations with gridded rainfall and surface geology as covariates, while in data-dense areas the kriging of the regression equation residuals ensures that the upscaled recharge estimates respect the point estimates of recharge.
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Then for each gene, we have the FDR estimate respect to the event that TF g binds to gene i's promoter.
Apparent reaction orders of 0.32 and 1.04 were estimated, respectively with respect to NO3− concentration and H2 partial pressure in the reducing feed gas stream (H2/He).
Across all food types, for Experiments 1 and 2, measuring cups and spoons produced the least accurate estimates with respect to absolute error (54.2% and 53.1%, respectively), whereas modeling clay produced the most accurate estimates (40.6% and 33.2%, respectively).
We also establish uniform a priori estimates with respect to.
The validity of the MRP estimates with respect to the FE results is assessed.
The mean SD of these estimates with respect to their mean trends is reduced by 84% (from 0.74×10−3 s−2 to 0.12×10−3 s−2).
Columns 4-6 of Table 4 contain the estimates with respect to the relation between migration and expectations.
Further, we can evaluate the sensitivity of model predictions based on inverse model parameter estimates with respect to the calibration targets.
Further, the sensitivity of cleanup time estimates with respect to the independent dimensionless parameters characterizing the SVE configuration considered, is studied.
In this paper we establish new quantitative stability estimates with respect to domain perturbations for all the eigenvalues of both the Neumann and the Dirichlet Laplacian.
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