Open Access
September 2015 Comment on Article by Ferreira and Gamerman
Noel Cressie, Raymond L. Chambers
Bayesian Anal. 10(3): 741-748 (September 2015). DOI: 10.1214/15-BA944B


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.


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Noel Cressie. Raymond L. Chambers. "Comment on Article by Ferreira and Gamerman." Bayesian Anal. 10 (3) 741 - 748, September 2015.


Published: September 2015
First available in Project Euclid: 24 April 2015

zbMATH: 1336.62207
MathSciNet: MR3420822
Digital Object Identifier: 10.1214/15-BA944B

Keywords: design-based inference , hierarchical model , informative sampling , preferential sampling , utility function

Rights: Copyright © 2015 International Society for Bayesian Analysis

Vol.10 • No. 3 • September 2015
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