On the reliability of mixed LS adjustment models
This paper examines the internal and external reliability criteria of the mixed LS adjustment model. We use the reliability concept to quantify the potential for detecting gross errors and to estimate their impact on the adjusted parameters. After a short introduction to the mixed adjustment model,...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Vilnius Gediminas Technical University
2023-03-01
|
| Series: | Geodesy and Cartography |
| Subjects: | |
| Online Access: | https://jbem.vgtu.lt/index.php/GAC/article/view/16893 |
| _version_ | 1827991343563014144 |
|---|---|
| author | Gilad Even-Tzur |
| author_facet | Gilad Even-Tzur |
| author_sort | Gilad Even-Tzur |
| collection | DOAJ |
| description |
This paper examines the internal and external reliability criteria of the mixed LS adjustment model. We use the reliability concept to quantify the potential for detecting gross errors and to estimate their impact on the adjusted parameters. After a short introduction to the mixed adjustment model, the hat matrix and Baarda’s data snooping we describe the theoretical tools developed to define the internal and external reliability in the mixed adjustment model. The paper presents the results of an example of LS adjustment of transformation parameters between two coordinate systems, indicating that the reliability can be used effectively for this model.
|
| first_indexed | 2024-04-10T00:50:19Z |
| format | Article |
| id | doaj.art-f8513851d77340cfbb02e3436b416512 |
| institution | Directory Open Access Journal |
| issn | 2029-6991 2029-7009 |
| language | English |
| last_indexed | 2024-04-10T00:50:19Z |
| publishDate | 2023-03-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Geodesy and Cartography |
| spelling | doaj.art-f8513851d77340cfbb02e3436b4165122023-03-13T16:16:40ZengVilnius Gediminas Technical UniversityGeodesy and Cartography2029-69912029-70092023-03-0149110.3846/gac.2023.16893On the reliability of mixed LS adjustment modelsGilad Even-Tzur0Division of Mapping and Geo-Information Engineering, Faculty of Civil and Environmental Engineering, Technion–Israeli Institute of Technology, Haifa, Israel This paper examines the internal and external reliability criteria of the mixed LS adjustment model. We use the reliability concept to quantify the potential for detecting gross errors and to estimate their impact on the adjusted parameters. After a short introduction to the mixed adjustment model, the hat matrix and Baarda’s data snooping we describe the theoretical tools developed to define the internal and external reliability in the mixed adjustment model. The paper presents the results of an example of LS adjustment of transformation parameters between two coordinate systems, indicating that the reliability can be used effectively for this model. https://jbem.vgtu.lt/index.php/GAC/article/view/16893internal reliabilityexternal reliabilitymixed adjustment modelhat matrix |
| spellingShingle | Gilad Even-Tzur On the reliability of mixed LS adjustment models Geodesy and Cartography internal reliability external reliability mixed adjustment model hat matrix |
| title | On the reliability of mixed LS adjustment models |
| title_full | On the reliability of mixed LS adjustment models |
| title_fullStr | On the reliability of mixed LS adjustment models |
| title_full_unstemmed | On the reliability of mixed LS adjustment models |
| title_short | On the reliability of mixed LS adjustment models |
| title_sort | on the reliability of mixed ls adjustment models |
| topic | internal reliability external reliability mixed adjustment model hat matrix |
| url | https://jbem.vgtu.lt/index.php/GAC/article/view/16893 |
| work_keys_str_mv | AT giladeventzur onthereliabilityofmixedlsadjustmentmodels |