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Algebraic diagnosis of outliers

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Abstract

In Chap. 7, we introduced parameter estimation from observational data sample and defined the models applicable to linear and nonlinear cases.

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Authors and Affiliations

  1. Department of Spatial Sciences, Faculty of Science and Engineering, Curtin University of Technology, GPO Box U1987, Perth, WA, 6845, Australia

    Prof. Dr.-Ing. Joseph L. Awange

  2. Geodätisches Institut Universität Stuttgart, Geschwister-Scholl-Str. 24 D, 70174, Stuttgart, Germany

    Prof. Dr.-Ing. Erik W. Grafarend

  3. Dept. Photogrammetry & Geoinformatics, Budapest University of Technology & Economics, 1521, Budapest, Hungary

    Prof.Dr. Béla Paláncz

  4. Dept. Geodesy & Surveying, Budapest University of Technology & Economics, Müegyetem rkp. 3, 1111, Budapest, Hungary

    Dr. Piroska Zaletnyik

Authors
  1. Prof. Dr.-Ing. Joseph L. Awange
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  2. Prof. Dr.-Ing. Erik W. Grafarend
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  3. Prof.Dr. Béla Paláncz
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  4. Dr. Piroska Zaletnyik
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Corresponding author

Correspondence to Joseph L. Awange .

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Awange, J.L., Grafarend, E.W., Paláncz, B., Zaletnyik, P. (2010). Algebraic diagnosis of outliers. In: Algebraic Geodesy and Geoinformatics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12124-1_16

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