On the stability of the geostatistical method |
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| Authors: | Noel Cressie and Dale L. Zimmerman |
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| Affiliation: | (1) Department of Statistics, Iowa State University, 50011 Ames, Iowa;(2) Department of Statistics and Actuarial Science, University of Iowa, 52242 Iowa City, Iowa |
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| Abstract: | A thorough geostatistical analysis of spatial data, observed at given spatial locations, includes exploratory data analysis, spatial-model building, diagnosing the model fit, and inference on unknown model parameters or unobserved values (at known locations). Using results from mathematical analysis, exact and asymptotic distribution theory, and simulation studies, we argue that, when used sensibly, the geostatistical method is reassuringly stable. |
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| Keywords: | kriging mean squared prediction error resistance robustness spatial dependence spatial prediction trend variogram |
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