Testing for structural change in spatial regions at unknown positions

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dc.contributor.authorArnold, Matthias
dc.contributor.authorWied, Dominik
dc.date.accessioned2012-05-11T10:18:13Z
dc.date.available2012-05-11T10:18:13Z
dc.date.issued2012-05-11
dc.description.abstractWe propose a fluctuation-type procedure for detecting breaks in spatial regions. While such tests are common in the context of time series, it is not a priori clear how to apply them to spatial data as there is no natural order of the observations. We demonstrate how this order can be constructed from a spatial autoregressive model. Once such an order is derived, standard time series results apply and break points can be consistently identified.en
dc.identifier.urihttp://hdl.handle.net/2003/29441
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-3337
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB 823 ; 19/2012
dc.subjectchange pointen
dc.subjectfluctuation testen
dc.subjectspatial correlationen
dc.subjectspatial orderen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleTesting for structural change in spatial regions at unknown positionsen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access

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