Introducing covariances of observations in the minimum L1-norm, is it needed?
The most common approaches for assigning weights to observations in minimum L1-norm (ML1) is to introduce weights of p or p\sqrt{p}, p being the weights vector of observations given by the inverse of variances. Hence, they do not take covariances into consideration, being appropriated only to indepe...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2022-10-01
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| Series: | Journal of Geodetic Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/jogs-2022-0135 |