Comparison of robust estimators for leveling networks in Monte Carlo simulations
We compared the method of least squares (LS), Pope’s iterative data snooping (IDS) and Huber’s M-estimator (HU) in realistic leveling networks, for which the heights or the vertical displacements of points are known. The study was conducted using the Monte Carlo simulation, in which one repeatedly g...
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| Format: | Article |
| Language: | English |
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Sciendo
2016-06-01
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| Series: | Reports on Geodesy and Geoinformatics |
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| Online Access: | https://doi.org/10.1515/rgg-2016-0023 |