Variance Component Estimation for Combination of Terrestrial Reference Frames
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 b...
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KIT Scientific Publishing
2021
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| _version_ | 1869515455781142528 |
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| author | Bähr, HermannAltamimi, ZuheirHeck, Bernhard |
| author_browse | Bähr, HermannAltamimi, ZuheirHeck, Bernhard |
| author_facet | Bähr, HermannAltamimi, ZuheirHeck, Bernhard |
| author_sort | Bähr, HermannAltamimi, ZuheirHeck, Bernhard |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-61860 |
| institution | Directory of Open Access Books |
| language | ger |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-618602024-04-04T19:18:51Z Variance Component Estimation for Combination of Terrestrial Reference Frames Bähr, HermannAltamimi, ZuheirHeck, Bernhard QC1-999 Reference Systems VLBI Geodesy SLR GPS Least Squares Adjustment Variance Component Estimation ITRF thema EDItEUR::P Mathematics and Science::PH Physics 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. 2021-02-12T07:23:38Z 2021-02-12T07:23:38Z 2019-07-30 20:02:01 2007 book 35328 16129733 9783866442061 https://directory.doabooks.org/handle/20.500.12854/61860 ger Schriftenreihe des Studiengangs Geodäsie und Geoinformatik / Universität Karlsruhe (TH), Studiengang Geodäsie und Geoinformatik image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.ksp.kit.edu/9783866442061 KIT Scientific Publishing 10.5445/KSP/1000007363 10.5445/KSP/1000007363 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783866442061 IX, 69 p. open access |
| spellingShingle | QC1-999 Reference Systems VLBI Geodesy SLR GPS Least Squares Adjustment Variance Component Estimation ITRF thema EDItEUR::P Mathematics and Science::PH Physics Bähr, HermannAltamimi, ZuheirHeck, Bernhard Variance Component Estimation for Combination of Terrestrial Reference Frames |
| title | Variance Component Estimation for Combination of Terrestrial Reference Frames |
| title_full | Variance Component Estimation for Combination of Terrestrial Reference Frames |
| title_fullStr | Variance Component Estimation for Combination of Terrestrial Reference Frames |
| title_full_unstemmed | Variance Component Estimation for Combination of Terrestrial Reference Frames |
| title_short | Variance Component Estimation for Combination of Terrestrial Reference Frames |
| title_sort | variance component estimation for combination of terrestrial reference frames |
| topic | QC1-999 Reference Systems VLBI Geodesy SLR GPS Least Squares Adjustment Variance Component Estimation ITRF thema EDItEUR::P Mathematics and Science::PH Physics |
| topic_facet | QC1-999 Reference Systems VLBI Geodesy SLR GPS Least Squares Adjustment Variance Component Estimation ITRF thema EDItEUR::P Mathematics and Science::PH Physics |
| url | 35328 |
| work_keys_str_mv | AT bahrhermannaltamimizuheirheckbernhard variancecomponentestimationforcombinationofterrestrialreferenceframes |