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dc.contributor.authorHeveling, Matthias*
dc.date.accessioned2021-02-11T09:03:16Z
dc.date.available2021-02-11T09:03:16Z
dc.date.issued2006*
dc.date.submitted2019-07-30 20:01:59*
dc.identifier34836*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/42093
dc.description.abstractIn the theory of stationary spatial point processes, Palm distributions are used to describe the point process seen from one of its points. Such an intrinsic frame of reference is not only interesting for theoretical considerations, but also useful in related fields such as queuing theory and stochastic geometry.*
dc.languageEnglish*
dc.subjectQA1-939*
dc.subject.otherStochastik*
dc.subject.otherPunktprozess*
dc.subject.otherStationärer Punktprozess*
dc.subject.otherMaßtheorie*
dc.subject.otherStochastische Geometrie*
dc.titleBijective point maps, point-stationarity and characterization of Palm measures*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000004284*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
virtual.oapen_relation_isPublishedBy.publisher_nameKIT Scientific Publishing
virtual.oapen_relation_isPublishedBy.publisher_websitehttp://www.ksp.kit.edu/
oapen.relation.isbn3866440170*
oapen.pagesIV, 82 p.*


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