Počet záznamů: 1  

Distinguishing different types of inhomogeneity in Neyman-Scott point processes

  1. 1.
    0428800 - BC-A 2015 RIV US eng J - Článek v odborném periodiku
    Mrkvička, Tomáš
    Distinguishing different types of inhomogeneity in Neyman-Scott point processes.
    Methodology and Computing in Applied Probability. Roč. 16, č. 2 (2014), s. 385-395. ISSN 1387-5841
    Institucionální podpora: RVO:60077344
    Klíčová slova: clustering * growing clusters * inhomogeneous cluster centers * inhomogeneous point process * location dependent scaling * Neyman-Scott point process
    Kód oboru RIV: BA - Obecná matematika
    Impakt faktor: 0.913, rok: 2014

    In this paper we introduce a graphical and formal approach to distinguishing different typed of inhomogeneity on Neyman-Scott point processes. The assumed types of inhomogeneity are 1) inhomogeneous cluster centers, 2) second order intensity reweighted stationarity, 3) location dependent scaling and a new type 4) growing clusters. The performance of the method is studied via a simulation study. This work has been motivated and illustrated by ecological studies of the spatial distribution of fish in an inland reservoir.
    Trvalý link: http://hdl.handle.net/11104/0234705