Shift- Estimation in Deformation Analyses
Publication: Journal of Surveying Engineering
Volume 142, Issue 4
Abstract
This paper presents an estimation method allowing direct and robust outlier assessment of parameter shifts in functional models of geodetic observations. The systems adopted in the discussion refer to functional models used in geodetic network deformation analysis. The proposed method is a robustness-oriented development of estimation. The problem of robustness is solved using an additional random variable with realizations that are outliers. The paper shows that the application of this variable also facilitates the selection of the appropriate number of competitive models in estimation. Two numerical examples explain the manner of estimation performance and indicate the basic properties of the determined estimates.
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Published In
Journal of Surveying Engineering
Volume 142 • Issue 4 • November 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Apr 30, 2015
Accepted: Jan 13, 2016
Published online: Mar 9, 2016
Discussion open until: Aug 9, 2016
Published in print: Nov 1, 2016
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