نتایج جستجو برای: kriging with measurement errors
تعداد نتایج: 9371823 فیلتر نتایج به سال:
according to the importance of groundwater resources in providing of human needs, lack of control and inappropriate management of these resources can lead to the problems such as nitrate pollutions arising from the use of chemical fertilizers in agricultural lands. with generalized point data to the area using the geostatistics methods can be determine the pollution content in areas without sam...
After collecting data, in researches, the type of data distribution must be determined; since any analysis requires the distribution of its own data. Soil properties, such as salinity, are also the same case. Due to its direct and indirect effects on plant growth, soil salinity is an important feature that has always been investigated in agriculture and natural resources, leading to a lot of re...
Scaling Flux Tower Observations of Sensible Heat Flux Using Weighted Area-to-Area Regression Kriging
Sensible heat flux (H) plays an important role in characterizations of land surface water and heat balance. There are various types of H measurement methods that depend on observation scale, from local-area-scale eddy covariance (EC) to regional-scale large aperture scintillometer (LAS) and remote sensing (RS) products. However, methods of converting one H scale to another to validate RS produc...
We propose a new FHE scheme F-NTRU that adopts the flattening technique proposed in GSW to derive an NTRU based scheme that (similar to GSW) does not require evaluation keys or key switching. Our scheme eliminates the decision small polynomial ratio (DSPR) assumption but relies only on the standard R-LWE assumption. It uses wide key distributions, and hence is immune to the Subfield Lattice Att...
Bayesian kriging is a useful tool for estimating spatial distributions of metals; however, estimates are generally only verified statistically. In this study surface soil samples were collected on a uniform grid and analyzed for As, Cr, Pb, and Hg. The data were interpolated at individual locations by Bayesian kriging. Estimates were validated using a leave-one-out cross validation (LOOCV) stat...
1. Abstract Over three decades, metamodeling has been widely applied to design optimization problems to build a surrogate model of computation-intensive engineering models. The Kriging method has gained significant interests for developing the surrogate model. However, traditional Kriging methods, including the ordinary Kriging and the universal Kriging, use fixed polynomials basis functions to...
In this paper, a method for the improvement of calculation accuracy distributed parameter model (DPM) electromagnetic devices is proposed based on kriging basis function predictive identification program (PIP). Kriging mainly an optimal interpolation which uses spatial self-covariance, and takes polynomial as function. The kriging-based surrogate can be improved by adjusting related functions h...
In this paper, we used the newly proposed exponential calibration for additive distortion measurement errors models, where neither response variable nor covariates can be directly observed but are distorted in fashions by an confounding variable. By using calibrated variables, three estimators of parameters and empirical likelihood-based confidence intervals proposed, studied asymptotic propert...
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