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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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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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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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Kriging and Collocation - a Comparison
manuscripta geodaetica, 1984zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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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2019
Chapter 4 discusses kriging; one calls kriging, or simple kriging, of the random function Y in a panel P the best linear estimator Y K of Y by N samples Y α. This optimum is given by starting from the extension variance of Y − Y K, where Y K = λ α
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Chapter 4 discusses kriging; one calls kriging, or simple kriging, of the random function Y in a panel P the best linear estimator Y K of Y by N samples Y α. This optimum is given by starting from the extension variance of Y − Y K, where Y K = λ α
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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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A CRITICAL COMPARISON OF KRIGING, FRACTAL AND INDICATOR KRIGING TECHNIQUES
The APEA Journal, 1993Geological and geostatistical characterisation of reservoir heterogeneities is becoming increasingly popular for the maximisation of oil production from existing oil fields. Many geostatistical techniques, such as kriging, fractal and indicator kriging, have become available either in published or commercial forms. There is, however, little information
T.A. Gray, F.X. Jian, I.J. Taggart.
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Computational Statistics & Data Analysis, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Regularized kriging as a generalization of simple, universal, and bayesian kriging
Stochastic Environmental Research and Risk Assessment, 2005In this article the properties of regularized kriging (RK) are studied. RK is obtained as a result of relaxing the universal kriging (UK) non-bias condition by using the support vectors methodology. More specifically, we demonstrate how RK is a continuum of solutions in function of the regularizing parameter, which includes as particular and extreme ...
J. M. Matías, W. González-Manteiga
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