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Design-based spatial interpolation with data driven selection of the smoothing parameterNARA Subscribed
In the inverse distance weighting interpolation the interpolated, value is a weighted mean of the sampled values, with weights decreasing with the distances. The most widely adopted class of distance functions is the class of negative powers of order $$\alpha $$ α and the appropriate choice of the smoothing parameter $$\alpha $$ α is a crucial issue. In this paper, we give sufficient conditions for the design-based consistency...
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