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Covariance function diagnostics for spatial linear models |
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| Authors: | Ronald Christensen Wesley Johnson Larry M. Pearson |
| Affiliation: | (1) Department of Mathematics and Statistics, University of New Mexico, USA;(2) Division of Statistics, University of California, Davis;(3) Department of Mathematics, Astronomy and Statistics, Mankato State University, Mankato, Minnesota |
| Abstract: | Case deletion diagnostics are developed for detecting observations that are influential in estimating the covariance function of a spatial random field. Diagnostics are developed within the context of universal kriging. Computational formulae are given that make the procedures feasible and the diagnostics are illustrated in an example. |
| Keywords: | best linear unbiased prediction BLUP influence kriging universal kriging updating formula |
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