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41#
發(fā)表于 2025-3-28 15:19:59 | 只看該作者
42#
發(fā)表于 2025-3-28 19:10:57 | 只看該作者
Cosmetic Outcome Following TARGIT,. Assessment of the uncertainty related to SO. emissions is achieved by indicator formalism using a soft image of plume dispersion as secondary information. Probability Field Simulation is applied to obtain a set of equi-probable images of spatial plumes dispersion. These different realisations are
43#
發(fā)表于 2025-3-28 23:33:13 | 只看該作者
44#
發(fā)表于 2025-3-29 05:42:25 | 只看該作者
45#
發(fā)表于 2025-3-29 08:01:33 | 只看該作者
46#
發(fā)表于 2025-3-29 12:47:33 | 只看該作者
https://doi.org/10.1007/978-3-663-09026-7tioned in a certain number, say ., of spatial classes supposed to be homogenous, and when this partition influences the quantitative variable to be interpolated, we propose a new kriging approach which filters the class effects without estimating them. The random function . is decomposed into a dete
47#
發(fā)表于 2025-3-29 15:56:17 | 只看該作者
Introduction to Mutation Testing,nary spatial process .(x) has been proposed in the last decade. It consists of deforming bijectively the geographic coordinate x so that the spatial dispersion structure can be considered stationary and isotropic in terms of a new spatial coordinate system. The model is .(x, y) = .(∥.(y) — .(x)∥) wh
48#
發(fā)表于 2025-3-29 22:26:14 | 只看該作者
49#
發(fā)表于 2025-3-29 23:58:28 | 只看該作者
A Review of Linear Geostatistics for Fisheries Survey Design and Stock Assessment population abundance. Fisheries scientists have first paid attention to the relation between a model based variance estimate and a covariance structure in their data as this enabled to reconsider survey design. The possibility to use the spatial covariance for optimizing sampling strategy has been
50#
發(fā)表于 2025-3-30 04:51:50 | 只看該作者
Representation of Conditional Random Distributions as a Problem of “Spatial” Interpolationtional moments in a generalized phase space. Different techniques for solving this interpolation problem are presented, and the different requirements for applications for simulation and forecast purposes are discussed. The design of universal empirical coordinates is outlined and the concept of dat
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