作者: Suggestions 時間: 2025-3-21 22:45
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作者: invade 時間: 2025-3-22 03:05
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作者: CHAFE 時間: 2025-3-22 07:05 作者: 易達到 時間: 2025-3-22 09:27
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作者: 引起 時間: 2025-3-22 14:31 作者: 引起 時間: 2025-3-22 18:26
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作者: nugatory 時間: 2025-3-22 21:21 作者: 沙草紙 時間: 2025-3-23 01:42
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作者: ascend 時間: 2025-3-23 08:17
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 作者: 侵略者 時間: 2025-3-23 13:06 作者: 可觸知 時間: 2025-3-23 15:13 作者: 創(chuàng)造性 時間: 2025-3-23 22:06
How large a sample is needed to estimate the regional variogram adequately? few data, but because confidence limits cannot be determined analytically from a single set of data its precision is unknown. Approximate confidence intervals can be found numerically by Monte Carlo simulation. A large field of values is created using a plausible model of the variogram. It is then 作者: Congregate 時間: 2025-3-24 00:32
Depth, Dip and Gradientint . using the depths . and the gradients (?.). known at the experimental points. This procedure is rather demanding insofar as it involves a gradient which implies that the depth formation is twice differentiable. In addition it may not be the most realistic one. The gradient (i.e. a point measure作者: 弄皺 時間: 2025-3-24 04:00 作者: 山崩 時間: 2025-3-24 09:23
Conditioning a Gaussian model with inequalitiesssian random functions. In these cases, the conditions at experimental points are expressed in terms of inequalities: 1 ≤ . ≤ ., .. ≤ .. ≤ ... The simulation with composite constraints (equalities and inequalities) is performed in two steps: firstly we ensure that the inequality constraints are vali作者: exercise 時間: 2025-3-24 12:27 作者: 少量 時間: 2025-3-24 15:20
Random Functions and Fracture Statistics Modelst fracture criteria are introduced: the weakest link assumption and a critical damage model. They involve two different kinds of change of support, namely by a convolution and by an inf. operation..Examples of random function models are presented, for which a theoretical calculation of coherent frac作者: 捏造 時間: 2025-3-24 20:47 作者: FOVEA 時間: 2025-3-25 00:43
https://doi.org/10.1007/978-3-658-10478-8d a coding process. Explicit calculations can be derived on substitution random functions. Moreover, non conditional and conditional simulations can be carried out to produce outcomes that respect some prescribed morphology.作者: saturated-fat 時間: 2025-3-25 05:46 作者: Armada 時間: 2025-3-25 09:16 作者: 幼稚 時間: 2025-3-25 11:38
Guy Smagghe,Otto Boecking,Peter G. Kevanmely by a convolution and by an inf. operation..Examples of random function models are presented, for which a theoretical calculation of coherent fracture statistics at different scales is possible, and examples of scaling laws are given.作者: infringe 時間: 2025-3-25 19:51 作者: gimmick 時間: 2025-3-25 20:17 作者: acrimony 時間: 2025-3-26 03:33
Book 1993pollution control, soil science, hydrology and humansciences. The papers also provide an insight into new trends ingeostatistics particularly the increasing interaction with many otherscientific disciplines..This book is a significant reference work for practitioners ofgeostatistics both in academia and industry. .作者: Cerumen 時間: 2025-3-26 04:21
https://doi.org/10.1007/978-3-642-92642-6at cannot be estimated from the data. This paper proposes alternatively to make the kriging predictor more variable; the result is an optimal predictor for g(Z(B)) that is unbiased for a Gaussian process and approximately unbiased for a non-Gaussian process and sufficiently smooth g.作者: altruism 時間: 2025-3-26 10:47
Entity Data Modeling Fundamentals,ere the experimental variogram is plotted versus the distance h. Any such particular measure can be identified by solving one non-linear system. This paper presents the formalism of the methodology, then provides some comparisons for different cases of GC modelling, by automatic recognition and by the proposed direct modelling.作者: 協(xié)奏曲 時間: 2025-3-26 14:34 作者: 饒舌的人 時間: 2025-3-26 19:46
Entkoppelt und institutionalisiertaussian fields, these univariate conditional pdfs are known to be Gaussian with mean and variance given by the solution of a set of normal equations also known as simple cokriging equations. Sequential simulation is preferred to other techniques, such as turning bands, because of its ease of use and extreme flexibility.作者: 講個故事逗他 時間: 2025-3-26 22:22
Aggregation in Geostatistical Problemsat cannot be estimated from the data. This paper proposes alternatively to make the kriging predictor more variable; the result is an optimal predictor for g(Z(B)) that is unbiased for a Gaussian process and approximately unbiased for a non-Gaussian process and sufficiently smooth g.作者: 反抗者 時間: 2025-3-27 02:29
Towards a Direct Structural Analysis of an IRF-kere the experimental variogram is plotted versus the distance h. Any such particular measure can be identified by solving one non-linear system. This paper presents the formalism of the methodology, then provides some comparisons for different cases of GC modelling, by automatic recognition and by the proposed direct modelling.作者: Benzodiazepines 時間: 2025-3-27 05:56
Probability Field Simulationrobability field, generating a non-conditional simulation of the probability field and , finally, using the simulated probability values to draw from the local cdfs. Guidelines on how to infer the distribution characteristics of the probability field are discussed and an example of application is presented.作者: 建筑師 時間: 2025-3-27 09:51 作者: QUAIL 時間: 2025-3-27 17:33 作者: deviate 時間: 2025-3-27 20:32 作者: ADJ 時間: 2025-3-27 23:07
Using the Entropy Statistic to infer Population Parameters from Spatially Clustered Sampling the sample entropy to find the . set of declustering weights. The method capitalizes on the simplicity of the Cell Declustering Method, is comparatively easy to implement for 2-D and 3-D data sets and provides results very similar to the Polygonal Method.作者: Enzyme 時間: 2025-3-28 04:30 作者: right-atrium 時間: 2025-3-28 09:06 作者: 潛移默化 時間: 2025-3-28 12:14
https://doi.org/10.1007/978-1-4615-6918-3e formula ?(. * .) with the result that it is possible to cokrige the depths using these average dip data..This article sets out to compare these local and regional procedures. The influence of the support size on the mapping results will be addressed.作者: 出處 時間: 2025-3-28 18:33 作者: Conspiracy 時間: 2025-3-28 20:30
https://doi.org/10.1007/1-4020-3183-1tance-rejection technique but can be used only to validate very few inequalities; in the second, we sample the stationary distribution of a Markov chain. This latter case is illustrated with a few examples.作者: Inflated 時間: 2025-3-29 02:03
Gary N. Libman,Susan C. MacIntoshsing variety of information, of both structural nature (multiple-event dependence beyond traditional two-point covariances) and local nature (hard and soft data). Last, like recent developments in simulated annealing, these algorithms need not be probabilistic.作者: 凹處 時間: 2025-3-29 05:15 作者: Culpable 時間: 2025-3-29 08:42
Depth, Dip and Gradiente formula ?(. * .) with the result that it is possible to cokrige the depths using these average dip data..This article sets out to compare these local and regional procedures. The influence of the support size on the mapping results will be addressed.作者: Cerumen 時間: 2025-3-29 12:31 作者: –scent 時間: 2025-3-29 17:54
Conditioning a Gaussian model with inequalitiestance-rejection technique but can be used only to validate very few inequalities; in the second, we sample the stationary distribution of a Markov chain. This latter case is illustrated with a few examples.作者: 未完成 時間: 2025-3-29 22:09 作者: hieroglyphic 時間: 2025-3-30 03:44
Book 1993e a comprehensive account of the currentstate of the art of geostatistics, including recent theoreticaldevelopments and new applications. In particular, readers will finddescriptions and applications of the more recent methods of stochasticsimulation together with data integration techniques applied作者: Cacophonous 時間: 2025-3-30 05:54
https://doi.org/10.1007/978-3-322-93565-6tor covariances. Higher order sample statistics such as three, four, multi-point covariances, as obtained, for example, from a training image, would improve considerably stochastic images if they could be reproduced.作者: 欄桿 時間: 2025-3-30 08:19
Multivariate Geostatistics: Beyond Bivariate Momentstor covariances. Higher order sample statistics such as three, four, multi-point covariances, as obtained, for example, from a training image, would improve considerably stochastic images if they could be reproduced.作者: 令人心醉 時間: 2025-3-30 16:14
https://doi.org/10.1007/978-94-011-1739-5Kriging; Reservoir; classification; digital elevation model; groundwater; hydrology; image analysis; optimi作者: Valves 時間: 2025-3-30 18:15 作者: Fissure 時間: 2025-3-31 00:34
Geostatistics Tróia ‘92978-94-011-1739-5Series ISSN 0924-1973 Series E-ISSN 2215-1834 作者: 格子架 時間: 2025-3-31 04:47 作者: Morphine 時間: 2025-3-31 07:28
Filtering Non-Linear FunctionsTwo methods of estimating non-linear functions of a signal which has been observed in the presence of contaminating noise are considered based on disjunctive kriging and conditional expectation. For both methods a reliable estimate of the probability density function of the underlying variable must be obtained first.作者: 褪色 時間: 2025-3-31 09:20 作者: 腫塊 時間: 2025-3-31 14:04 作者: 調(diào)味品 時間: 2025-3-31 19:32
https://doi.org/10.1007/978-3-642-92642-6e 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作者: gimmick 時間: 2025-3-31 22:06
https://doi.org/10.1007/978-3-658-10478-8 combination of spatial information and an appropriate representation, a substitution random function is a combination of a spatial random function and a coding process. Explicit calculations can be derived on substitution random functions. Moreover, non conditional and conditional simulations can b作者: famine 時間: 2025-4-1 03:20 作者: GAVEL 時間: 2025-4-1 07:42 作者: 變形詞 時間: 2025-4-1 12:56
