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Mean-Value Formulae for the Neighbourhood of the Typical Cell of a Random Tessellation
Published online by Cambridge University Press: 01 July 2016
Abstract
The mean number of edges of a randomly chosen neighbouring cell of the typical cell in a planar stationary tessellation, under the condition that it has n edges, has been studied by physicists for more than 20 years. Experiments and simulation studies led empirically to the so-called Aboav's law. This law now plays a central role in Rivier's (1993) maximum entropy theory of statistical crystallography. Using Mecke's (1980) Palm method, an exact form of Aboav's law is derived. Results in higher-dimensional cases are also discussed.
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- Stochastic Geometry and Statistical Applications
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- Copyright © Applied Probability Trust 1994
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