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Distinguishing different types of inhomogeneity in Neyman-Scott point processes
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SYSNO ASEP 0428800 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Distinguishing different types of inhomogeneity in Neyman-Scott point processes Author(s) Mrkvička, Tomáš (BC-A) RID Source Title Methodology and Computing in Applied Probability. - : Springer - ISSN 1387-5841
Roč. 16, č. 2 (2014), s. 385-395Number of pages 11 s. Language eng - English Country US - United States Keywords clustering ; growing clusters ; inhomogeneous cluster centers ; inhomogeneous point process ; location dependent scaling ; Neyman-Scott point process Subject RIV BA - General Mathematics Institutional support BC-A - RVO:60077344 UT WOS 000335508800009 EID SCOPUS 84899905946 DOI 10.1007/s11009-013-9365-4 Annotation 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. Workplace Biology Centre (since 2006) Contact Dana Hypšová, eje@eje.cz, Tel.: 387 775 214 Year of Publishing 2015
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