01173nam--2200385---450 99000121468020331620200506085722.0000121468USA01000121468(ALEPH)000121468USA0100012146820031023d1975----km-y0itay0103----baitaengITa|||||||001yyClassicismo e RomanticismoFrederick Antaltraduzione di Rodolfo J. WilcockTorinoEinaudi1975XII, 247 p.ill.22 cmSaggi552Classicism and Romanticism2001Saggi5522001Classicism and Romanticism12728ClassicismoANTAL,Frederick200270WILCOCK,RodolfoITsalbcISBD990001214680203316XII.2.B. 11(Varie coll 2/552)68964 L.M.Varie coll.XII.2.B. 11a(Varie coll. 2 /252 bis)70289 L.M.Varie coll.XVII A. 2121488 DLASXVII A.390162BKCASUMAClassicism and romanticism12728UNISA01890nam 2200433z- 450 9910917177903321202102121000007363(CKB)4920000000094509(oapen)https://directory.doabooks.org/handle/20.500.12854/61860(oapen)doab61860(EXLCZ)99492000000009450920202102d2007 |y 0gerurmn|---annantxtrdacontentcrdamediacrrdacarrierVariance Component Estimation for Combination of Terrestrial Reference FramesKIT Scientific Publishing20071 online resource (IX, 69 p. p.)Schriftenreihe des Studiengangs Geodäsie und Geoinformatik / Universität Karlsruhe (TH), Studiengang Geodäsie und Geoinformatik3-86644-206-8 Combining 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.PhysicsbicsscGeodesyGPSITRFLeast Squares AdjustmentReference SystemsSLRVariance Component EstimationVLBIPhysicsBähr HermannAltamimi, ZuheirHeck, Bernhardauth1780318BOOK9910917177903321Variance Component Estimation for Combination of Terrestrial Reference Frames4304147UNINA