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Statements

Subject Item

n2:RIV%2F49777513%3A23520%2F10%3A00503238%21RIV11-MSM-23520___

rdf:type

skos:Concept n7:Vysledek

dcterms:description

In the case where we want to estimate the parameter of the Poisson process that describes some natural phenomenon like earthquakes we usually have to use only one realization of this process, because it is quite clear that performing repetition is impossible because these processes are in the hands of the nature. Moreover, we are usually limited by time or finance and therefore we can use only several observations. The approach presented in this paper offers an alternative to the classical distancebased methods presented in the literature. Our approach is based on the estimation of two parameters, the measure of domain and the parameter of the Poisson process. Using this approach we can avoid censoring which would be problematic in the further research of the spatial Poisson process in the bounded domain. The work has been supported by the grant of Ministry of Industry and Trade of the Czech Republic MPO 2A 2TP1/051. In the case where we want to estimate the parameter of the Poisson process that describes some natural phenomenon like earthquakes we usually have to use only one realization of this process, because it is quite clear that performing repetition is impossible because these processes are in the hands of the nature. Moreover, we are usually limited by time or finance and therefore we can use only several observations. The approach presented in this paper offers an alternative to the classical distancebased methods presented in the literature. Our approach is based on the estimation of two parameters, the measure of domain and the parameter of the Poisson process. Using this approach we can avoid censoring which would be problematic in the further research of the spatial Poisson process in the bounded domain. The work has been supported by the grant of Ministry of Industry and Trade of the Czech Republic MPO 2A 2TP1/051.

dcterms:title

Poisson Process Parameter Estimation from Data in Bounded Domain Poisson Process Parameter Estimation from Data in Bounded Domain

skos:prefLabel

Poisson Process Parameter Estimation from Data in Bounded Domain Poisson Process Parameter Estimation from Data in Bounded Domain

skos:notation

RIV/49777513:23520/10:00503238!RIV11-MSM-23520___

n4:aktivita

n14:S n14:P

n4:aktivity

P(2A-2TP1/051), S

n4:dodaniDat

n5:2011

n4:domaciTvurceVysledku

n17:3091317

n4:druhVysledku

n11:O

n4:duvernostUdaju

n6:S

n4:entitaPredkladatele

n15:predkladatel

n4:idSjednocenehoVysledku

279548

n4:idVysledku

RIV/49777513:23520/10:00503238

n4:jazykVysledku

n8:eng

n4:klicovaSlova

Poisson Process; Bounded domain; Parameter estimation; Exponential distribution; Distance-based methods

n4:klicoveSlovo

n9:Exponential%20distribution n9:Poisson%20Process n9:Parameter%20estimation n9:Distance-based%20methods n9:Bounded%20domain

n4:kontrolniKodProRIV

[BFB96E91F580]

n4:obor

n12:BA

n4:pocetDomacichTvurcuVysledku

1

n4:pocetTvurcuVysledku

1

n4:projekt

n10:2A-2TP1%2F051

n4:rokUplatneniVysledku

n5:2010

n4:tvurceVysledku

Marek, Patrice

n16:organizacniJednotka

23520