Baarda, W.: A testing procedure for use in geodetic networks. Publications on Geodesy, 2
= 5, Netherlands Geodetic Commission, Delft, the Netherlands, ISBN 90 6132 209 X, 1968.
Durdag, U. M., Hekimoglu, S., and Erdogan, B.: What is the relation between smearing effect of least squares estimation and its influence function? Surv. Rev., 54, 320–331, https://doi.org/10.1080/00396265.2021.1939590, 2022.
Ebeling, A.: Ground-Based Deformation Monitoring. PhD Thesis, University of Calgary, Department of Geomatics Engineering, Calgary, https://doi.org/10.11575/PRISM/26325, 2014.
Erdogan, B.: An outlier detection method in geodetic networks based on the original observations, Bol. Ciênc. Geod., 20, 578–589, https://doi.org/10.1590/S1982-21702014000300033, 2014.
Erdogan, B., Hekimoglu, S., Durdag, U. M., and Ocalan, T.: Empirical estimation of the power of test in outlier detection problem, Studia Geophys. et Geod., 63, 55–70, https://doi.org/10.1007/s11200-018-1144-9, 2019.
Gao, Y., Krakiwsky, E. J., and Czompo, J.: Robust testing procedure for detection of multiple blunders, J. Surv. Eng., 118, 11–23, https://doi.org/10.1061/(ASCE)0733-9453(1992)118:1(11), 1992.
Hekimoglu, S.: Reliabilities of
χ2-and F Tests in Gauss-Markov Model, J. Surv. Eng., 125, 109–135, https://doi.org/10.1061/(ASCE)0733-9453(1999)125:3(109), 1999.
Hekimoglu, S.: Increasing reliability of the test for outliers whose magnitude is small, Surv. Rev., 38, 274–285, https://doi.org/10.1179/sre.2005.38.298.274, 2005.
Hekimoglu, S. and Erenoglu, R. C.: Effect of heteroscedasticity and heterogeneousness on outlier detection for geodetic networks, J. Geod., 81, 137–148, https://doi.org/10.1007/s00190-006-0095-z, 2007.
Hekimoglu, S., Erdogan, B., and Butterworth, S.: Increasing the efficacy of the conventional deformation analysis methods: alternative strategy, J. Surv. Eng., 136, 53–62, https://doi.org/10.1061/(ASCE)SU.1943-5428.0000018, 2010.
Hekimoglu, S., Erdogan, B., Soycan, M., and Durdag, U. M.: Univariate approach for detecting outliers in geodetic networks, J. Surv. Eng., 140, 04014006, https://doi.org/10.1061/(ASCE)SU.1943-5428.0000123, 2014.
Hekimoglu, S., Erdogan, B., and Erenoglu, R. C.: A new outlier detection method considering outliers as model errors, Exp Techniques, 39, 57–68, https://doi.org/10.1111/j.1747-1567.2012.00876.x, 2015.
Huber, P. J.: Robust Estimation of a Location Parameter, Ann. Math. Stat., 35, 73–101,
http://www.jstor.org/stable/2238020 (last access: 12 March 2024), 1964.
Huber, P. J.: Robust Statistics, John Wiley and Sons, New York, USA, 312 pp., ISBN 9780471418054, 1981.
Koch, K. R.: Parameter estimation and hypothesis testing in linear models, Springer, New York, USA, 334 pp., ISBN 978-3-540-65257-1, 1999.
Lehmann, R.:
3σ-rule for outlier detection from the viewpoint of geodetic adjustment, J. Surv. Eng., 139, 157–165, https://doi.org/10.1061/(ASCE)SU.1943-5428.0000112, 2013.
Maronna, R. A., Martin, R. D., Yohai, V. J., and Salibián-Barrera, M.: Robust statistics: theory and methods (with R), Wiley, Chichester, UK, 430 pp., ISBN 9781119214687, 2019.
Neitzel, F.: Identifizierung konsistenter Datengruppen am Beispiel der Kongruenzuntersuchung geodätischer Netze, PhD thesis, Deutsche Geodätische Kommission, Reihe C, Nr. 565, München, ISSN 0065 5325, ISBN 3 7696 5004 2, https://www.researchgate.net/profile/Frank-Neitzel/publication/35226424 (last access: 14 March 2024), 2004.
Niemeier, W.: Anlage von Überwachungsnetzen. Geodaetische Netze in Landes- und Ingenieurvermessung II., edited by: Pelzer, H., Verlag Konrad Wittwer, Stuttgart, Germany, 527–558, ISBN 3879191298, LCCN 80491066, 1985 (in German).
Nowel, K.: Specification of deformation congruence models using combinatorial iterative DIA testing procedure, J. Geod., 94, 118, https://doi.org/10.1007/s00190-020-01446-9, 2020.
Pope, A. J.: The statistics of residuals and the detection of outliers. NOAA Technical Rep. NOS 65 NGS 1, U.S. Dept. of Commerce, Rockville, Maryland, USA, 98 pp.,
https://repository.library.noaa.gov/view/noaa/30811 (last access: 13 March 2024), 1976.
Teunissen, P. J.: Testing theory; an introduction, VSSD Leeghwaterstraat 42, 2628 CA Delft, the Netherlands, 147 pp., ISBN 978-9040719752, 2006.
Wang, J., Zhao, J., Liu, Z., and Kang, Z.: Location and estimation of multiple outliers in weighted total least squares, Measurement, 181, 109591, https://doi.org/10.1016/j.measurement.2021.109591, 2021.
Zienkiewicz, M. H. and Dąbrowski, P. S.: Matrix Strengthening the Identification of Observations with Split Functional Models in the Squared
Msplit(q) Estimation Process, Measurement, 217, 112950, https://doi.org/10.1016/j.measurement.2023.112950, 2023.
