HEIR
发表于 2025-3-21 19:20:23
书目名称Geostatistics Tróia ‘92影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0384102<br><br> <br><br>书目名称Geostatistics Tróia ‘92影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0384102<br><br> <br><br>书目名称Geostatistics Tróia ‘92网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0384102<br><br> <br><br>书目名称Geostatistics Tróia ‘92网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0384102<br><br> <br><br>书目名称Geostatistics Tróia ‘92被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0384102<br><br> <br><br>书目名称Geostatistics Tróia ‘92被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0384102<br><br> <br><br>书目名称Geostatistics Tróia ‘92年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0384102<br><br> <br><br>书目名称Geostatistics Tróia ‘92年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0384102<br><br> <br><br>书目名称Geostatistics Tróia ‘92读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0384102<br><br> <br><br>书目名称Geostatistics Tróia ‘92读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0384102<br><br> <br><br>
Suggestions
发表于 2025-3-21 22:45:48
Comparison of Disjunctive Kriging to Generalized Probability Kriging in Application to the Estimatio it has yet to be compared extensively to probability kriging. Herein, disjunctive kriging and generalized probability kriging are applied to one real and one simulated data set and compared for estimation of the cumulative distribution functions. Generalized probability kriging is an extension, bas
invade
发表于 2025-3-22 03:05:51
Aggregation in Geostatistical Problemse than ., where . is a point chosen at random within the block B; B is often referred to as the support of Z(B). Suppose that a resource Z(·) is sampled, yielding data .. However, the resource is extracted in blocks B.,…, B.. Let B denote a generic block and suppose that it is desired to predict g(Z
CHAFE
发表于 2025-3-22 07:05:18
http://reply.papertrans.cn/39/3842/384102/384102_4.png
易达到
发表于 2025-3-22 09:27:45
Towards a Direct Structural Analysis of an IRF-kor modelling the Generalised Covariance (GC). However, in many cases, still working in the frame of the IRF-k, it could be interesting to be able to infer the GC directly. This paper proposes a way for the direct modelling of an IRF-k based on the identification of particular authorised measures. Th
引起
发表于 2025-3-22 14:31:42
http://reply.papertrans.cn/39/3842/384102/384102_6.png
引起
发表于 2025-3-22 18:26:56
Joint Sequential Simulation of MultiGaussian FieldsGaussian random function as long as its conditional distributions can be derived. The multivariate probability density function (pdf) that fully describes a random function can be written as the product of a set of univariate conditional pdfs. Drawing realizations from the multivariate pdf amounts t
nugatory
发表于 2025-3-22 21:21:05
http://reply.papertrans.cn/39/3842/384102/384102_8.png
沙草纸
发表于 2025-3-23 01:42:11
Using the Entropy Statistic to infer Population Parameters from Spatially Clustered Samplingm spatially clustered sample data sets. The proposed Entropy Method uses the criterion of maximizing the difference between the population entropy and the sample entropy to find the . set of declustering weights. The method capitalizes on the simplicity of the Cell Declustering Method, is comparativ
ascend
发表于 2025-3-23 08:17:46
Biased Kriging on The Sphere?to give up one of the two properties as soon as we consider global phenomena such as the (residual) topography, the disturbing gravity field, etc. In case of a . process we are facing problems in deriving the proper distribution functions for our test statistics, beside the fact that such a process