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On estimating the reduced second moment measure of a stationary spatial point process

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<mark>Journal publication date</mark>03/1998
<mark>Journal</mark>Australian and New Zealand Journal of Statistics
Issue number1
Number of pages5
Pages (from-to)11-15
Publication StatusPublished
<mark>Original language</mark>English


A method is proposed for estimating the covariance structure of a nonparametric estimator for the reduced second moment measure, K(s), of a homogeneous planar Poisson process. The method relies on the invariance of the reduced second moment measure to random thinning, and the known covariance structure of the estimator under random sampling from a fixed set of points. The possible extension of the method to stationary Cox processes is discussed.