Journal
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
Volume 57, Issue 4, Pages 400-409Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1057/palgrave.jors.2601997
Keywords
Kriging; simulation; bootstrapping; design and analysis of computer experiments ( DACE); global optimization
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The classic Kriging variance formula is widely used in geostatistics and in the design and analysis of computer experiments. This paper proves that this formula is wrong. Furthermore, it shows that the formula underestimates the Kriging variance in expectation. The paper develops parametric bootstrapping to estimate the Kriging variance. The new method is tested on several artificial examples and a real-life case study. These results demonstrate that the classic formula underestimates the true Kriging variance.
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