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dc.contributor.advisor Schlather, Martin Prof. Dr. de
dc.contributor.author Oesting, Marco de
dc.date.accessioned 2012-07-04T15:50:51Z de
dc.date.accessioned 2013-01-18T13:24:38Z de
dc.date.available 2013-01-30T23:50:56Z de
dc.date.issued 2012-07-04 de
dc.identifier.uri http://hdl.handle.net/11858/00-1735-0000-000D-F069-0 de
dc.format.mimetype application/pdf de
dc.language.iso eng de
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/ de
dc.title Spatial Interpolation and Prediction of Gaussian and Max-Stable Processes de
dc.type doctoralThesis de
dc.title.translated Räumliche Interpolation und Vorhersage von Gaußschen und max-stabilen Prozessen de
dc.contributor.referee Schlather, Martin Prof. Dr. de
dc.date.examination 2012-05-03 de
dc.subject.dnb 510 Mathematik de
dc.subject.gok EGAG 600 de
dc.subject.gok EGAG 700 de
dc.subject.gok EGAG 550 de
dc.subject.gok EGFD 050 de
dc.description.abstracteng This thesis deals with different aspects of spatial interpolation and prediction of random fields. In the case of Gaussian random fields, best linear predictors and conditional distributions are well-known, provided that the mean and covariance structure of the random field are given. For parametric estimation of the covariance function from data, we consider the flexible class of Whittle-Mat de
dc.contributor.coReferee Schaback, Robert Prof. Dr. de
dc.subject.topic Mathematics and Computer Science de
dc.subject.ger Räumliche Interpolation de
dc.subject.ger Geostatistik de
dc.subject.ger Bedingte Simulation de
dc.subject.ger Max-stabile Prozesse de
dc.subject.ger Brown-Resnick-Prozesse de
dc.subject.eng Spatial Interpolation de
dc.subject.eng Geostatistics de
dc.subject.eng Reproducing Kernel Hilbert Spaces de
dc.subject.eng Conditional Sampling de
dc.subject.eng Max-Stable Processes de
dc.subject.eng Brown-Resnick Processes de
dc.subject.bk 31.70 de
dc.subject.bk 31.76 de
dc.identifier.urn urn:nbn:de:gbv:7-webdoc-3601-7 de
dc.identifier.purl webdoc-3601 de
dc.affiliation.institute Mathematisch-Naturwissenschaftliche Fakultäten de
dc.identifier.ppn 727397397 de

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