Statistics, Probability and UncertaintyEnvironmental Science (miscellaneous)Agricultural and Biological Sciences (miscellaneous)Statistics and ProbabilityApplied Mathematics
We study spatial sampling design for prediction of stationary isotropic Gaussian
processes with estimated parameters of the covariance function. The key issue is
how to incorporate the parameter uncertainty into design criteria to correctly
represent the uncertainty in prediction. Several possible design criteria are
discussed that incorporate the parameter uncertainty. A simulated annealing
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