Abstract

In this study, some well-known variance component estimation methods, called conventional, Helmert, MINQUE, AUE, and Förstner, developed to determine the stochastic model, for the adjustment of geodetic networks, have been compared. In doing so, concrete deciding criteria, using statistical tests, have been defined and the determination of superior model has been studied. For the validation of the models, numerical experiments using data, from a part of the Istanbul Metropolitan Triangulation Network (Asian side), have been performed.

Key words: Variance, stochastic model, variance estimation, weights, Helmert method.