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Spatial Interpolation and Prediction of Gaussian and Max-Stable Processes

dc.contributor.advisorSchlather, Martin Prof. Dr.de
dc.contributor.authorOesting, Marcode
dc.date.accessioned2012-07-04T15:50:51Zde
dc.date.accessioned2013-01-18T13:24:38Zde
dc.date.available2013-01-30T23:50:56Zde
dc.date.issued2012-07-04de
dc.identifier.urihttp://hdl.handle.net/11858/00-1735-0000-000D-F069-0de
dc.identifier.urihttp://dx.doi.org/10.53846/goediss-2578
dc.identifier.urihttp://dx.doi.org/10.53846/goediss-2578
dc.identifier.urihttp://dx.doi.org/10.53846/goediss-2578
dc.format.mimetypeapplication/pdfde
dc.language.isoengde
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/de
dc.titleSpatial Interpolation and Prediction of Gaussian and Max-Stable Processesde
dc.typedoctoralThesisde
dc.title.translatedRäumliche Interpolation und Vorhersage von Gaußschen und max-stabilen Prozessende
dc.contributor.refereeSchlather, Martin Prof. Dr.de
dc.date.examination2012-05-03de
dc.subject.dnb510 Mathematikde
dc.subject.gokEGAG 600de
dc.subject.gokEGAG 700de
dc.subject.gokEGAG 550de
dc.subject.gokEGFD 050de
dc.description.abstractengThis 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-Matde
dc.contributor.coRefereeSchaback, Robert Prof. Dr.de
dc.subject.topicMathematics and Computer Sciencede
dc.subject.gerRäumliche Interpolationde
dc.subject.gerGeostatistikde
dc.subject.gerBedingte Simulationde
dc.subject.gerMax-stabile Prozessede
dc.subject.gerBrown-Resnick-Prozessede
dc.subject.engSpatial Interpolationde
dc.subject.engGeostatisticsde
dc.subject.engReproducing Kernel Hilbert Spacesde
dc.subject.engConditional Samplingde
dc.subject.engMax-Stable Processesde
dc.subject.engBrown-Resnick Processesde
dc.subject.bk31.70de
dc.subject.bk31.76de
dc.identifier.urnurn:nbn:de:gbv:7-webdoc-3601-7de
dc.identifier.purlwebdoc-3601de
dc.affiliation.instituteMathematisch-Naturwissenschaftliche Fakultätende
dc.identifier.ppn727397397de


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