affidavit
发表于 2025-3-21 19:27:47
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反馈
发表于 2025-3-21 20:32:15
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Misnomer
发表于 2025-3-22 03:55:25
Event-Based Geostatistical Modeling: Description and Applicationsa continuum of rule complexity from very simple geometric models to complicated dynamics. Even the application of simple rules, including few conceptual interactions based on an understanding of stratigraphic relationships and parametric geometries for event scale depositional and erosion features,
闲逛
发表于 2025-3-22 05:12:00
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Fortify
发表于 2025-3-22 10:02:33
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五行打油诗
发表于 2025-3-22 12:56:55
Revisiting the Linear Model of Coregionalizationriables as linear combinations of sets of independent (or at least uncorrelated) underlying variables. The popularity of the LCM stems mostly from the ease of modeling and verification of the admissibility of the model. However, LCM has strong limitations as it implies symmetrical cross-covariances
五行打油诗
发表于 2025-3-22 18:20:36
Modeling Nonlinear Beta Probability Fields are not classic p-fields. Instead, the shape of the local probability density function (pdf) for the proportion .(.) random variable at each location . changes with the Beta distribution parameters, . and . which are in turn functions of the local proportions themselves. In addition, Beta random va
ACRID
发表于 2025-3-22 22:39:21
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MAPLE
发表于 2025-3-23 03:11:13
Multiple-Point Geostatistical Simulation Based on Genetic Algorithms Implemented in a Shared-Memorya training image. The most widely used algorithm is based on solving a single normal equation at each location using the conditional probabilities inferred during the training process. Simulated annealing offers an alternative implementation that, in addition, allows to incorporate additional stati
不可知论
发表于 2025-3-23 06:52:20
The Edge Effect in Geostatistical Simulationsave significant effects on simulations, especially for situations in which the variogram range is relatively large compared to the size of the simulation area (volume). Failure to account properly for the issue can bias simulations by generating values with ranges of correlation and statistical char