Effectiveness of chosen robust estimation methods compared to the level of network reliability

Mieczysław Kwaśniak


The 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.
Author Mieczysław Kwaśniak (FGC / DEIS)
Mieczysław Kwaśniak,,
- Department of Engineering and Industrial Surveying
Journal seriesGeodesy and Cartography, ISSN 2080-6736, (B 8 pkt)
Issue year2011
Keywords in Englishadjustment, robust estimation, internal reliability, effectiveness of method
URL http://www.degruyter.com/view/j/geocart.2011.60.issue-1/v10277-012-0014-9/v10277-012-0014-9.xml
Languageen angielski
Score (nominal)8
Citation count*8 (2020-02-26)
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