Results 161 to 170 of about 12,654 (214)
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Disjunctive kriging, universal kriging, or no kriging: Small sample results with simulated fields
Mathematical Geology, 1986This paper provides a comparison between linear (universal) and nonlinear (disjunctive) kriging estimators when they are computed from small samples chosen randomly on simulated stationary and nonstationary fields. Point estimation results are reported.
Carlos E. Puente, Rafael L. Bras
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Rock Kriging with the Microscope
Mathematical Geology, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Voytekhovsky, Y. L., Fishman, M. A.
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Information Sciences, 1997
This paper presents a new mathematical model for integrating information from multiple sources with respect to fuzzy measures. The proposed methodology is based on the optimality principle of an estimation technique of geostatistics known as block kriging.
Tuan D. Pham, Hong Yan 0001
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This paper presents a new mathematical model for integrating information from multiple sources with respect to fuzzy measures. The proposed methodology is based on the optimality principle of an estimation technique of geostatistics known as block kriging.
Tuan D. Pham, Hong Yan 0001
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Fuzzy Sets and Systems, 2000
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Hans Bandemer, Albrecht Gebhardt
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Hans Bandemer, Albrecht Gebhardt
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Kriging with Inequality Constraints
Mathematical Geology, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abrahamsen, Petter, Benth, Fred Espen
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Regularized Kriging: The Support Vectors Method Applied to Kriging
2003We explore the possible advantages of relaxing the universal kriging non-bias condition using the Support Vectors methodology. This leads to a regularized problem with restrictions, in which the objective function is the traditional variance term plus a term that penalises the bias, and whose resolution gives rise to a continuum of solutions for ...
José M. Matías +1 more
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2012 IEEE Statistical Signal Processing Workshop (SSP), 2012
Path delays in IP networks are important metrics, required by network operators for assessment, planning, and fault diagnosis. Monitoring delays of all source-destination pairs in a large network is however challenging and wasteful of resources. The present paper develops a spatio-temporal prediction approach to track and predict network-wide path ...
Ketan Rajawat +2 more
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Path delays in IP networks are important metrics, required by network operators for assessment, planning, and fault diagnosis. Monitoring delays of all source-destination pairs in a large network is however challenging and wasteful of resources. The present paper develops a spatio-temporal prediction approach to track and predict network-wide path ...
Ketan Rajawat +2 more
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Journal of the Operational Research Society, 2015
Kriging is a popular method for estimating the global optimum of a simulated system. Kriging approximates the input/output function of the simulation model. Kriging also estimates the variances of the predictions of outputs for input combinations not yet simulated. These predictions and their variances are used by ‘efficient global optimization’ (EGO),
Ehsan Mehdad, Jack P. C. Kleijnen
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Kriging is a popular method for estimating the global optimum of a simulated system. Kriging approximates the input/output function of the simulation model. Kriging also estimates the variances of the predictions of outputs for input combinations not yet simulated. These predictions and their variances are used by ‘efficient global optimization’ (EGO),
Ehsan Mehdad, Jack P. C. Kleijnen
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The application of Kriging and empirical Kriging based on the variables selected by SCAD
Analytica Chimica Acta, 2006The commonly used approach for building a structure-activity/property relationship consists of three steps. First, one determines the descriptors for the molecular structure, then builds a metamodel by using some proper mathematical methods, and finally evaluates the meta-model.
Xiao-Ling, Peng +3 more
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Analyzing Kriging method and creating an application using Kriging
2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA), 2016India requires the agronomic information for increasing the agriculture productivity which can be done by Precision Agriculture by providing information of land and crop nutrients inputs across variable fields where Soil sampling across field can greatly improve the accuracy of fertilizer prediction. Management Zone Delineation is the subject in modern
Nikhil Gaikwad, Rupali Sawant
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