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Reproducing Estimators via Least-Squares: An Optimal Alternative to the Helmert Transformation

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Geodesy-The Challenge of the 3rd Millennium

Summary

One of the classical procedures for geodetic network densification consists in a free net adjustment, followed by a so-called “Helmert transformation” with respect to the fiducial point set which is kept unchanged. Here we show that this approach is not optimal in terms of the Mean-Squared-Error (MSE) risk, and present a direct derivation, based on the least-squares principle, of the optimal densification solution with the “reproducing property”.

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Dedicated to Erik Grafarend at his 60th birthday

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© 2003 Springer-Verlag Berlin Heidelberg

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Schaffrin, B. (2003). Reproducing Estimators via Least-Squares: An Optimal Alternative to the Helmert Transformation. In: Grafarend, E.W., Krumm, F.W., Schwarze, V.S. (eds) Geodesy-The Challenge of the 3rd Millennium. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05296-9_40

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  • DOI: https://doi.org/10.1007/978-3-662-05296-9_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-07733-3

  • Online ISBN: 978-3-662-05296-9

  • eBook Packages: Springer Book Archive

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