| contributor author | Yuan-xi Yang | |
| contributor author | Tian-he Xu | |
| contributor author | Li-jie Song | |
| date accessioned | 2017-05-08T21:01:43Z | |
| date available | 2017-05-08T21:01:43Z | |
| date copyright | November 2005 | |
| date issued | 2005 | |
| identifier other | %28asce%290733-9453%282005%29131%3A4%28107%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/35937 | |
| description abstract | A robust strategy for controlling the influence of outliers on model parameters and variance components is proposed based on the principle of robust M estimation. The robust estimators for parameters and variance components are derived. A practical robust estimator similar to Helmert’s one for maximum likelihood estimation is obtained. The robustness and efficiency of the new robust estimation procedure is demonstrated and compared with those of the classical least squares method by applying a practical global positioning system network in China. | |
| publisher | American Society of Civil Engineers | |
| title | Robust Estimation of Variance Components with Application in Global Positioning System Network Adjustment | |
| type | Journal Paper | |
| journal volume | 131 | |
| journal issue | 4 | |
| journal title | Journal of Surveying Engineering | |
| identifier doi | 10.1061/(ASCE)0733-9453(2005)131:4(107) | |
| tree | Journal of Surveying Engineering:;2005:;Volume ( 131 ):;issue: 004 | |
| contenttype | Fulltext | |