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The bootstrap is a practical, nonparametric method that can be used to estimate the sampling distribution of a broad class of parameter estimates. We propose using the bootstrap to estimate the samplings distribution of a distance—based estimator of intensity in a sparsely sampled spatial point pattern. An illustration of the method is given.
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Andrew R. Solow (1989) studied this question.
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