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Random Sets: Models and Statistics

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  • Dietrich Stoyan

Abstract

This paper surveys aspects of the theory of random closed sets, focussing on issues of practical and current interest. First, some historical remarks on this part of probability theory are made, where the important role of Georges Matheron is emphasized. Then, fundamental characteristics of the distribution of random closed sets are introduced. The very important Boolean model serves as an example for discussing mathematical and statistical problems. A number of further models is then considered, namely excursion sets of random fields, the system of edges of the Poisson Voronoi tessellation and various random systems of non‐overlapping spheres. Finally, some ideas of particle statistics are presented, including some models of random compact sets. Cet article est un survol de certains aspects d'intérêt pratique et actuel de la théorie des ensembles fermés aléatoires. II débute par quelques remarques sur l'histoire de cette partie de la théorie des probabilités et sur rôle important de Georges Matheron. Ensuite sont introduites les caractéristiques fondamentales de la distribution des ensembles femés aléatoires. le modélw très important appeléma Booléen sert d'exemple pour discuter des problèmes mathématiques et statistiques. Une série d'autres modèles est examinée, aêsavoir. les ensembles d'excursion de champs aléatoires, les systèmes d'arêtes de la partition de poisson voronoi, et plusieurs systèms aléatoires de sphères sams recouvrement. Filalement, des idées de statistique des particules, comprenant des modèles d'ensembles aléatoires compacts, sont présentées.

Suggested Citation

  • Dietrich Stoyan, 1998. "Random Sets: Models and Statistics," International Statistical Review, International Statistical Institute, vol. 66(1), pages 1-27, April.
  • Handle: RePEc:bla:istatr:v:66:y:1998:i:1:p:1-27
    DOI: 10.1111/j.1751-5823.1998.tb00403.x
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    Cited by:

    1. Yan Sun & Dan Ralescu, 2015. "A normal hierarchical model and minimum contrast estimation for random intervals," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 67(2), pages 313-333, April.
    2. Guillermo Ayala & María Concepción López-Díaz & Miguel López-Díaz & Lucía Martínez-Costa, 2015. "Methods and Algorithms to Test the Hausdorff and Simplex Dispersion Orders with an R Package," Methodology and Computing in Applied Probability, Springer, vol. 17(3), pages 661-675, September.
    3. Ayala, Guillermo & López-Díaz, Miguel, 2009. "The simplex dispersion ordering and its application to the evaluation of human corneal endothelia," Journal of Multivariate Analysis, Elsevier, vol. 100(7), pages 1447-1464, August.
    4. Lopez-Diaz, Miguel & Ralescu, Dan A., 2006. "Tools for fuzzy random variables: Embeddings and measurabilities," Computational Statistics & Data Analysis, Elsevier, vol. 51(1), pages 109-114, November.
    5. López-Díaz, Miguel, 2006. "An indexed multivariate dispersion ordering based on the Hausdorff distance," Journal of Multivariate Analysis, Elsevier, vol. 97(7), pages 1623-1637, August.
    6. Wang, Yangeng & Wei, Guo & Campbell, William H. & Bourquin, Steven, 2009. "A framework of induced hyperspace dynamical systems equipped with the hit-or-miss topology," Chaos, Solitons & Fractals, Elsevier, vol. 41(4), pages 1708-1717.

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