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contributor authorYuan-xi Yang
contributor authorTian-he Xu
contributor authorLi-jie Song
date accessioned2017-05-08T21:01:43Z
date available2017-05-08T21:01:43Z
date copyrightNovember 2005
date issued2005
identifier other%28asce%290733-9453%282005%29131%3A4%28107%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/35937
description abstractA 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.
publisherAmerican Society of Civil Engineers
titleRobust Estimation of Variance Components with Application in Global Positioning System Network Adjustment
typeJournal Paper
journal volume131
journal issue4
journal titleJournal of Surveying Engineering
identifier doi10.1061/(ASCE)0733-9453(2005)131:4(107)
treeJournal of Surveying Engineering:;2005:;Volume ( 131 ):;issue: 004
contenttypeFulltext


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