Effectiveness of chosen robust estimation methods compared to the level of network reliability
AbstractThe work presents the results of studies on dependence of effectiveness of chosen robust estimation methods from the internal reliability level of a geodetic network. The studies use computer-simulated observation systems, so it was possible to analyse many variants differing from each other in a planned way. Four methods of robust estimation have been chosen for the studies, differing substantially in the approach to weight modifications. For comparative reasons, the effectiveness studies have also been conducted for the very popular method in surveying practice, of gross error detection basing on LS estimation results, the so called iterative data snooping. The studies show that there is a relation between the level of network internal reliability and the effectiveness of robust estimation methods. In most cases, in which the observation contaminated by a gross error was characterized by a low index of internal reliability, the robust estimation led to results being essentially far from expectations.
|Journal series||Geodesy and Cartography, ISSN 2080-6736, (B 8 pkt)|
|Keywords in English||adjustment, robust estimation, internal reliability, effectiveness of method|
|Citation count*||8 (2020-02-26)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.