Two step estimation for Neyman-Scott point process with inhomogeneous cluster centers

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F14%3A00424217" target="_blank" >RIV/60077344:_____/14:00424217 - isvavai.cz</a>
Alternative codes found
RIV/60076658:12310/14:43886793 RIV/60076658:12510/14:43886793
Result on the web
<a href="http://dx.doi.org/10.1007/s11222-012-9355-3" target="_blank" >http://dx.doi.org/10.1007/s11222-012-9355-3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11222-012-9355-3" target="_blank" >10.1007/s11222-012-9355-3</a>

Result language
angličtina
Original language name
Two step estimation for Neyman-Scott point process with inhomogeneous cluster centers
Original language description
This paper is concerned with parameter estimation for the Neyman-Scott point process with inhomogeneous cluster centers. Inhomogeneity depends on spatial covariates. The regression parameters are estimated at the first step using a Poisson likelihood score function. Three estimation procedures (minimum contrast method based on a modified K function, composite likelihood and Bayesian methods) are introduced for estimation of clustering parameters at the second step. The performance of the estimation methods are studied and compared via a simulation study. This work has been motivated and illustrated by ecological studies of fish spatial distribution in an inland reservoir.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
EH - Ecology - communities
OECD FORD branch
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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