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Titlebook: Geostatistics; Proceedings of the T Margaret Armstrong (Secretary) Conference proceedings 1989 Springer Science+Business Media Dordrecht 19

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Sonja Kröger,Dorothee M. MeisterCRF-K.,). Generalised cross-covariances are introduced and methods of fitting them to experimental data are discussed. An example of fitting a generalised cross-covariance to a co-simulated pair of variables is given.
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https://doi.org/10.1007/978-3-476-03369-7n its various forms) has an advantage over other predictors in that it adapts to the quantity and quality of spatial dependence demonstrated by the data. Properties of the various methods are discussed very briefly.
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Invasives and Invadability in Perspective,érale d’approximation et de calcul numérique des fonctions propres. Puis, on s’attache à montrer l’intérêt de cette technique, habituellement utilisée en archivage de données, pour l’interpolation d’un processus aléatoire, dans un contexte de multiréalisations, en insistant sur l’analogie avec les m
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https://doi.org/10.1007/978-981-99-2333-5ctory models for spatial data. We introduce some rules for constructing sequential R.F., and present statistical properties of markovian jumps sequential random functions, and digital dead leaves models. The R.F. simulate imbricated structures, such as encountered in perspective views, where there i
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https://doi.org/10.1007/978-3-663-20382-7ction. Their contribution to the study of the change of support problem encountered when the variable of interest is the maximum value on a block (instead of the average) is considered in detail..In the second section, practical problems encountered when fitting them to data are discussed. Some ways
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,Entdeckungen, Eroberungen, Fundstücke,is shown that spatial interpolation in itself can be viewed as an ill-posed problem, therefore some efficient inversion techniques are directly applicable to kriging. One of the most general regularization methods, the Levin-Courant regularization, leads via splines to seemingly new variants of krig
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Anschauung als Quelle neuen Wissens,statistics, which must be derived from sample data. A frequently adopted assumption in these models is that the pattern of variation consists of stationary random zero-mean gaussian fluctuations, superposed on a deterministic average trend. This paper shows how to estimate the trend and the covarian
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