LEADER 01890nam  2200433z- 450 
001 9910917177903321
005 20210212
010   $a1000007363
035   $a(CKB)4920000000094509
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/61860
035   $a(oapen)doab61860
035   $a(EXLCZ)994920000000094509
100   $a20202102d2007      |y         0
101 0 $ager
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aVariance Component Estimation for Combination of Terrestrial Reference Frames
210   $cKIT Scientific Publishing$d2007
215   $a1 online resource (IX, 69 p. p.)
225 1 $aSchriftenreihe des Studiengangs Geodäsie und Geoinformatik / Universität Karlsruhe (TH), Studiengang Geodäsie und Geoinformatik
311 08$a3-86644-206-8 
330   $aCombining 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.
606   $aPhysics$2bicssc
610   $aGeodesy
610   $aGPS
610   $aITRF
610   $aLeast Squares Adjustment
610   $aReference Systems
610   $aSLR
610   $aVariance Component Estimation
610   $aVLBI
615  7$aPhysics
700   $aBähr$b HermannAltamimi, ZuheirHeck, Bernhard$4auth$01780318
906   $aBOOK
912   $a9910917177903321
996   $aVariance Component Estimation for Combination of Terrestrial Reference Frames$94304147
997   $aUNINA