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Variance Component Estimation for Combination of Terrestrial Reference Frames

dc.contributor.authorBähr, HermannAltamimi, ZuheirHeck, Bernhard*
dc.date.accessioned2021-02-12T07:23:38Z
dc.date.available2021-02-12T07:23:38Z
dc.date.issued2007*
dc.date.submitted2019-07-30 20:02:01*
dc.identifier35328*
dc.identifier.issn16129733*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/61860
dc.description.abstractCombining Terrestrial Reference Frames (TRFs) to frames of superior quality (like the ITRF) usually involves homogenisation by an empirical weighting scheme. Different approaches on variance component estimation have been evaluated for this purpose. The statistically rigorous Helmert estimator has been compared with two other methods: the degree of freedom method and a simplified, approximate estimator. Tests have been performed, covering two elementary types of combinations.*
dc.languageGerman*
dc.relation.ispartofseriesSchriftenreihe des Studiengangs Geodäsie und Geoinformatik / Universität Karlsruhe (TH), Studiengang Geodäsie und Geoinformatik*
dc.subjectQC1-999*
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PH Physicsen_US
dc.subject.otherReference Systems*
dc.subject.otherVLBI*
dc.subject.otherGeodesy*
dc.subject.otherSLR*
dc.subject.otherGPS*
dc.subject.otherLeast Squares Adjustment*
dc.subject.otherVariance Component Estimation*
dc.subject.otherITRF*
dc.titleVariance Component Estimation for Combination of Terrestrial Reference Frames*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000007363*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783866442061*
oapen.pagesIX, 69 p.*
oapen.volume39234*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeEditorial board member
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.idc6dc0a31-a243-4016-9909-08d74a1f0e13
peerreview.titleBooks in Series (Buch in Schriftenreihe)


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