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Stochastická rekonstrukce bodových vzorků / Stochastic reconstruction of random point patterns

Point procesess serve as stochastic models for locations of objects that are ran- domly placed in space, e.g. the locations of trees of a given species in a forest stand, earthquake epicenters or defect positions in industrial materials. Stochas- tic reconstruction is an algorithmic procedure providing independent replicates of point process data which may be used for various purposes, e.g. testing sta- tistical hypothesis. The main advantage of this technique is that we do not need to specify any theoretical model for the observed data, only the estimates of se- lected summary characteristics are employed. Main aim of this work is to discuss the possibility of extension of the stochastic reconstruction algorithm for inho- mogeneous point patterns. 1

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:382736
Date January 2018
CreatorsKoňasová, Kateřina
ContributorsDvořák, Jiří, Prokešová, Michaela
Source SetsCzech ETDs
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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