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Resampling non-homogeneous spatial data with smoothly varying mean values

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  • Sjöstedt-de Luna, Sara

Abstract

It is shown that a resampling method based on cross differences provides a valid approximation to the distributions of the sample means of random variables observed on a spatial grid. The random variables are allowed to have different distributions with smoothly varying expected values between neighbouring grid points.

Suggested Citation

  • Sjöstedt-de Luna, Sara, 2001. "Resampling non-homogeneous spatial data with smoothly varying mean values," Statistics & Probability Letters, Elsevier, vol. 53(4), pages 373-379, July.
    • Handle: RePEc:eee:stapro:v:53:y:2001:i:4:p:373-379
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    References listed on IDEAS

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    1. Hall, Peter, 1985. "Resampling a coverage pattern," Stochastic Processes and their Applications, Elsevier, vol. 20(2), pages 231-246, September.
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