Goodness-of-fit test of the mark distribution in a point process with non-stationary marks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F12%3A43883354" target="_blank" >RIV/60076658:12310/12:43883354 - isvavai.cz</a>
Alternative codes found
RIV/60076658:12510/12:43883354
Result on the web
<a href="http://dx.doi.org/10.1007/s11222-011-9263-y" target="_blank" >http://dx.doi.org/10.1007/s11222-011-9263-y</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11222-011-9263-y" target="_blank" >10.1007/s11222-011-9263-y</a>
Alternative languages
Result language
angličtina
Original language name
Goodness-of-fit test of the mark distribution in a point process with non-stationary marks
Original language description
Three procedures for testing the hypothesis that the marks of the point process belong to a given family of distributions, where the marks are independent conditionally on an unknown non-stationary parametric field théta(x), are described. The unknown parametric field was estimated by a kernel estimator and the estimate included in the procedures. The asymptotic distribution of the kernel estimator was derived because it is required in some of the procedures to take into account the estimation uncertainty. The procedures were compared by a simulation study and applied to two real datasets. First, the terminal dates of Maya sites and second, the heights of trees that have fallen during storms.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP201%2F10%2F0472" target="_blank" >GAP201/10/0472: Stochastic geometry - inhomogeneity, marking, dynamics and stereology</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Statistics and Computing
ISSN
0960-3174
e-ISSN
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Volume of the periodical
2012
Issue of the periodical within the volume
22
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
931-943
UT code for WoS article
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EID of the result in the Scopus database
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