Random Perturbation Methods Applied to Multivariate Spatial Sampling Design

@inproceedings{Angulo2001RandomPM,
  title={Random Perturbation Methods Applied to Multivariate Spatial Sampling Design},
  author={Jos{\'e} Miguel Angulo and Mar{\'i}a del Carmen Bueso},
  year={2001}
}
SUMMARY The problem of estimating a multivariate spatial random process from observations obtained by sampling a related multivariate spatial random process is considered. A method based on additive perturbation of the variables of interest is proposed for the assignment of degrees of relative importance to the variables and/or locations of interest in the design of sampling strategies. In the case where the variables involved have a multivariate Gaussian distribution, some theoretical results… CONTINUE READING
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