Outlier Diagnostic in Geodetic Intersection

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.

Keywords

• residual
• gauss-markov model
• intersection method
• least square method
• studentized residual