About: Poisson Process Parameter Estimation from Data in Bounded Domain     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
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. (en)
Title
  • Poisson Process Parameter Estimation from Data in Bounded Domain
  • Poisson Process Parameter Estimation from Data in Bounded Domain (en)
skos:prefLabel
  • Poisson Process Parameter Estimation from Data in Bounded Domain
  • Poisson Process Parameter Estimation from Data in Bounded Domain (en)
skos:notation
  • RIV/49777513:23520/10:00503238!RIV11-MSM-23520___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(2A-2TP1/051), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 279548
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/10:00503238
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Poisson Process; Bounded domain; Parameter estimation; Exponential distribution; Distance-based methods (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [BFB96E91F580]
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Marek, Patrice
http://localhost/t...ganizacniJednotka
  • 23520
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software