<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Residuals are differences between observed and predicted variables. This paper describes outlier detection method with using studentized internal and external residuals, which was applied to find extreme values in dataset that comes from the planar intersection method. The detected outlier is analysed by the statistical hypothesis testing, where critical value is defined as a quantil of Studentized distribution.</p></abstract>

Residuals are differences between observed and predicted variables. This paper describes outlier detection method with using studentized internal and external residuals, which was applied to find extreme values in dataset that comes from the planar intersection method. The detected outlier is analysed by the statistical hypothesis testing, where critical value is defined as a quantil of Studentized distribution.

Outlier Diagnostic in Geodetic Intersection

Department of Geodesy, Faculty of Civil Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovak Republic

Civil and Environmental Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Outlier Diagnostic in Geodetic Intersection"}

Residuals are differences between observed and predicted variables. This paper describes outlier detection method with using studentized internal and external...

Outlier Diagnostic in Geodetic Intersection

Publié en ligne: 30 déc. 2014

Pages: 61 - 65

DOI: https://doi.org/10.2478/cee-2014-0012

Mots clés
Residual, Gauss-Markov model, Intersection method, Least square method, Studentized residual

© 2015

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Outlier Diagnostic in Geodetic Intersection

Publié en ligne: 30 déc. 2014

Pages: 61 - 65

DOI: https://doi.org/10.2478/cee-2014-0012

Mots clésResidual, Gauss-Markov model, Intersection method, Least square method, Studentized residual

© 2015

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Residual, Gauss-Markov model, Intersection method, Least square method, Studentized residual