Advances in Applied Probability
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Gamma distributions for stationary Poisson flat processes

Volker Baumstark and Günter Last
Source: Adv. in Appl. Probab. Volume 41, Number 4 (2009), 911-939.

Abstract

We consider a stationary Poisson process $X$ of k-flats in $\R^d$ with intensity measure $\Theta$ and a measurable set $S$ of k-flats depending on F1,...,FnX, x∈ℝd, and X in a specific equivariant way. If (F1,...,Fn,x) is properly sampled (in a `typical way') then Θ(S) has a gamma distribution. This result generalizes and unifies earlier work by Miles (1971), M{\o}ller and Zuyev (1996), and Zuyev (1999). As a new example, we will show that the volume of the fundamental region of a typical j-face of a stationary Poisson--Voronoi tessellation is conditionally gamma distributed. This is true in the area-biased and the area-debiased cases. In the first case the shape parameter is not integer valued. As another new example, we will show that the generalized j-face of a Poisson hyperplane tessellation are conditionally gamma distributed. In the isotropic case the contents boil down to the mean breadth of the face.

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Primary Subjects: 60D05, 60G55
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Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.aap/1261669578
Digital Object Identifier: doi:10.1239/aap/1261669578
Zentralblatt MATH identifier: 05706683
Mathematical Reviews number (MathSciNet): MR2663228

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