Abstract: The conventional outlier detection procedures, such as the methods of Baarda and Pope or the t-testing procedure, determine only one outlier reliably. The approach to robustifying these procedures is as follows: (1) To ...

Abstract: A new method of weighting that realizes equiredundancy design is introduced, and its convergence is better than the method introduced by Koch. However, if Koch's method is modified, it gives the best results compared to ...

Abstract: The conventional iterative outlier detection procedures (CIODP), such as the Baarda-, Pope-, or t-testing procedure, based on the least-squares estimation (LSE) are used to detect the outliers in geodesy. Since the finite ...

Abstract: Power and level breakdown points are used in robust statistics to determine the global reliability of a test. A method for calculating the finite-sample versions of these for tests such as χ

Abstract: The main problem in conventional deformation analysis (CDA) is that if there is more than one displaced point in a given monitoring network, the least-squares estimation (LSE) smears the disturbing effects of the displaced ...

Abstract: The detection of the discordant points, i.e., outliers, in linear regression models is a problem, which has been studied extensively. Huber’s

Abstract: In deformation analysis, it is important to know whether the points detected by conventional deformation analysis (CDA) are really displaced or not, and also if there are any more displaced points in the network. It is ...

Abstract: A kinematic deformation analysis (KDA) model is mostly preferred to estimate the displacement, velocity, and acceleration parameters in deformation analysis. Different models, such as linear and quadratic, are used in KDA. ...

Abstract: In geodetic networks, observations are measured repetitively, and the mean values of these observations are used for network adjustment, outlier detection, deformation analysis, etc. These repetitive observations are ...