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Fundamentals of Point Process Statistics

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Case Studies in Spatial Point Process Modeling

Part of the book series: Lecture Notes in Statistics ((LNS,volume 185))

Summary

Point processes are mathematical models for irregular or random point patterns. A short introduction to the theory of point processes and their statistics, emphasizing connections between the presented theory and the use done by several authors and contributions appearing in this book is presented.

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Author information

Authors and Affiliations

  1. Institut für Stochastik, Technische Universität Bergakademie Freiberg, Agricolastr. 1, 09596, Freiberg, Germany

    Dietrich Stoyan

Authors
  1. Dietrich Stoyan
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Editor information

Editors and Affiliations

  1. Department of Mathematics, University of Western Australia, Nedlands, 6907, Australia

    Adrian Baddeley

  2. Department of Mathematics, Universitat Jaume 1 of Castellon, Castellon, 12071, Spain

    Pablo Gregori  & Jorge Mateu  & 

  3. INRA - Biometrie, Domaine St. Paul, Site Agroparc, 84914, Avignon, Cedex 9, France

    Radu Stoica

  4. Institut für Stochastik, TU Bergakademie Freiberg, Prüferstraße 9, D-09596, Freiberg, Germany

    Dietrich Stoyan

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Stoyan, D. (2006). Fundamentals of Point Process Statistics. In: Baddeley, A., Gregori, P., Mateu, J., Stoica, R., Stoyan, D. (eds) Case Studies in Spatial Point Process Modeling. Lecture Notes in Statistics, vol 185. Springer, New York, NY. https://doi.org/10.1007/0-387-31144-0_1

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