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Statistics for Poisson models of overlapping spheres
Daniel Hug, Günter Last, Zbyněk Pawlas, Wolfgang Weil · 2013-01-08 · via math.ST updates on arXiv.org

The paper considers the stationary Poisson Boolean model with spherical grains and proposes a family of nonparametric estimators for the radius distribution. These estimators are based on observed distances and radii, weighted in an appropriate way. They are ratio-unbiased and asymptotically consistent for growing observation window. It is shown that the asymptotic variance exists and is given by a fairly explicit integral expression. Asymptotic normality is established under a suitable integrability assumption on the weight function. The paper also provides a short discussion of related estimators as well as a simulation study.