Resampling a coverage pattern
The possibility of resampling (bootstrapping) a spatial pattern is investigated. It is suggested that resampling provides a unified approach to consistemt inference in a wide range of coverage problems. Nevertheless, resampling distorts some of the interactions in the problem, and so introduces biases. The sizes of bias and standard deviation are investigated in the case of estimating sampling variance via resampling.
Year of publication: |
1985
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Authors: | Hall, Peter |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 20.1985, 2, p. 231-246
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Publisher: |
Elsevier |
Keywords: | bias * Boolen model * bootrap * coverage pattern * mosaic * resampling * vacancy * variance |
Saved in:
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