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Comment on article by Ferreira and Gamerman. (English) Zbl 1336.62207

Editorial remark: This is a comment on [G. da Silva Ferreira and D. Gamerman, ibid. 10, No. 3, 711–735 (2015; Zbl 1336.62217)].
Summary: A utility-function approach to optimal spatial sampling design is a powerful way to quantify what “optimality” means. The emphasis then should be to capture all possible contributions to utility, including scientific impact and the cost of sampling. The resulting sampling plan should contain a component of designed randomness that would allow for a non-parametric design-based analysis if model-based assumptions were in doubt.

MSC:

62K05 Optimal statistical designs
86A32 Geostatistics
62D05 Sampling theory, sample surveys
62M30 Inference from spatial processes
62F15 Bayesian inference

Citations:

Zbl 1336.62217
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