Robust estimations for the nonlinear Gauss Helmert model by the expectation maximization algorithm

For deriving the robust estimation by the EM (expectation maximization) algorithm for a model, which is more general than the linear model, the nonlinear Gauss Helmert (GH) model is chosen. It contains the errors-in-variables model as a special case. The nonlinear GH model is difficult to handle bec...

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Veröffentlicht in:	Journal of geodesy 2014-03, Vol.88 (3), p.263-271
1. Verfasser:	Koch, Karl-Rudolf
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Earth and Environmental Science Earth Sciences Geodetics Geophysics/Geodesy Multivariate analysis Normal distribution Original Article
Online-Zugang:	Volltext
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