Stereological Modelling of Random Particles
Publisher DOI
Abstract
Stochastic models for three-dimensional particles have many applications in applied sciences. Lévy–based particle models are a flexible approach to particle modelling. The structure of the random particles is given by a kernel smoothing of a Lévy basis. The models are easy to simulate but statistical inference procedures have not yet received much attention in the literature. The kernel is not always identifiable and we suggest one approach to remedy this problem. We propose a method to draw inference about the kernel from data often used in local stereology and study the performance of our approach in a simulation study.
Date Issued
2013-02-26
Publication Type
Article
Language(s)
en
Additional Credits
Journal
Communications in statistics - theory and methods
Publisher
Marcel Dekker
ISSN
0361-0926
Access(Rights)
metadata.only