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

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實現(xiàn)

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0924-1973 Overview: 978-94-015-6846-3978-94-015-6844-9Series ISSN 0924-1973 Series E-ISSN 2215-1834

出血

Sonja Kr?ger,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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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 of testing for these functions are outlined.

Axillary

,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 kriging.