Section means, integral transforms, and Boolean models

For a stationary particle process X with convex particles in ℝ d d ≧ 2, a mean body M(X) can be defined by where h(M,·) denotes the support function of the convex body M, γ the intensity of X, and P 0 is the distribution of the typical particle of X (a probability measure on the set of convex bodies...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Advances in applied probability 1996-06, Vol.28 (2), p.332-333
Hauptverfasser:	Goodey, Paul, Kiderlen, Markus, Well, Wolfgang
Format:	Artikel
Sprache:	eng
Schlagworte:	8th International Workshop on Stochastic Geometry, Stereology and Image Analysis Analytical estimating Bayes estimators Boolean data Ergodic theory Estimators Kaplan Meier estimator Line segments Mathematical functions Particle intensity Stochastic Geometry and Statistical Applications Surface areas
Online-Zugang:	Volltext
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