Traditional iterative estimate methods are replaced by the Gauss-Jacobi combinatorial algorithm. In nonlinear models, where other parameter estimate approaches fail, the combinatorial approach is frequently employed for outlier diagnosis. The purpose of this study is to compare the effectiveness of the Gauss-Jacobi and Gauss-Markov models when used to the parameter estimation process of a levelling network for the purpose of determining the efficiency of a combinatorial algorithm in a simple linear model.
Author (s) DetailsJana Izvoltova
Department of Geodesy, Faculty of Civil Engineering, University of Zilina, Slovak Republic.
Peter Pisca
Department of Geodesy, Faculty of Civil Engineering, University of Zilina, Slovak Republic.
View Book : https://stm.bookpi.org/AAER-V11/article/view/1254
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