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Titlebook: Geostatistics Tróia ‘92; Volume 1 & 2 Amilcar Soares Book 1993 Springer Science+Business Media B.V. 1993 Kriging.Reservoir.classification.d

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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.
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https://doi.org/10.1007/978-94-011-1739-5Kriging; Reservoir; classification; digital elevation model; groundwater; hydrology; image analysis; optimi
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Geostatistics Tróia ‘92978-94-011-1739-5Series ISSN 0924-1973 Series E-ISSN 2215-1834
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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.
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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
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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
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