Results 1 to 10 of about 77,394 (227)
Lietuvos Matematikos Rinkinys, 2000 There is not abstract.
Kęstutis Dučinskas +2 more
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Review of the Kriging Technique Applications to Groundwater Quality
Journal of Engineering, 2021 Kriging, a geostatistical technique, has been used for many years to evaluate groundwater quality. The best estimation data for unsampled points were determined by using this method depending on measured variables for an area.
Hayat Azawi, May Samir Saleh
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Mathematics, 2021 The Kriging surrogate model in complex simulation problems uses as few expensive objectives as possible to establish a global or local approximate interpolation.
Yaohui Li +5 more
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Aerospace, 2023 To achieve the low-cycle fatigue (LCF) lifetime prediction and reliability estimation of turbine blisks, a Marine Predators Algorithm (MPA)-based Kriging (MPA-Kriging) method is developed by introducing the MPA into the Kriging model.
Gaiya Feng, Jiongran Wen, Chengwei Fei
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Spatio-Temporal Analysis of Drought Severity Using Drought Indices and Deterministic and Geostatistical Methods (Case Study: Zayandehroud River Basin) [PDF]
Desert, 2016 Drought monitoring is a fundamental component of drought risk management. It is normally performed using various drought indices that are effectively continuous functions of rainfall and other hydrometeorological variables.
A. Afzali +8 more
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Guan'gai paishui xuebao, 2022 【Objective】 Canopy temperature varies with leaf water content and can be used as a proxy of crop water deficit. In this paper, we compare different interpolation methods for calculating spatial distribution of crop water deficit based on canopy ...
ZHANG Minne +3 more
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E-Jurnal Matematika, 2012 Kriging as optimal spatial interpolation can produce less precise predictive value if there are outliers among the data. Outliers defined as extreme observation value of the other observation values that may be caused by faulty record keeping, improper ...
NI MADE SUMA FRIDAYANI +2 more
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Kriging: Methods and Applications [PDF]
SSRN Electronic Journal, 2017 In this chapter we present Kriging— also known as a Gaussian process (GP) model— which is a mathematical interpolation method. To select the input combinations to be simulated, we use Latin hypercube sampling (LHS); we allow uniform and non-uniform distributions of the simulation inputs.
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Efficient simulation-driven design optimization of antennas using co-kriging [PDF]
, 2012 We present an efficient technique for design optimization of antenna structures. Our approach exploits coarse-discretization electromagnetic (EM) simulations of the antenna of interest that are used to create its fast initial model (a surrogate) through ...
Couckuyt, Ivo +3 more
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Spatial Prediction of Real Sulfur Data Using the Ordinary Kriging Technique and Lognormal Kriging [PDF]
المجلة العراقية للعلوم الاحصائية, 2022 This research deals with the spatial prediction process in order to obtain the optimal prediction when the data are distributed normally. In this paper, we used the ordinary kriging technique and the lognormal kriging after taking the logarithm of the ...
Najla Sedek
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