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Distinguishing different types of inhomogeneity in Neyman-Scott point processes
- 1.0428800 - BC 2015 RIV US eng J - Journal Article
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. E-ISSN 1573-7713
Institutional support: RVO:60077344
Keywords : clustering * growing clusters * inhomogeneous cluster centers * inhomogeneous point process * location dependent scaling * Neyman-Scott point process
Subject RIV: BA - General Mathematics
Impact factor: 0.913, year: 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.
Permanent Link: http://hdl.handle.net/11104/0234705
Number of the records: 1