CRITERION FOR COMPARING THE VARIANCE COMPONENT ESTIMATION METHODS USED FOR ADJUSTING HORIZONTAL CONTROL NETWORKS | Zendy

Yavuz Erol | Zendy; Orhan Baykal | Zendy

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CRITERION FOR COMPARING THE VARIANCE COMPONENT ESTIMATION METHODS USED FOR ADJUSTING HORIZONTAL CONTROL NETWORKS

Author(s) -

Yavuz Erol,

Orhan Baykal

Publication year - 2012

Publication title -

geodesy and cartography

Language(s) - English

Resource type - Journals

eISSN - 1648-3502

pISSN - 1392-1541

DOI - 10.3846/13921541.2006.9636682

Subject(s) - triangulation , variance components , variance (accounting) , component (thermodynamics) , geodetic datum , estimation , computer science , stochastic modelling , statistics , mathematics , algorithm , econometrics , mathematical optimization , data mining , geodesy , geography , engineering , thermodynamics , physics , geometry , accounting , systems engineering , business

Determination of which stochastic model taken in hand for this study is suitable under conditions, when comparing stochastic models, used for adjusting horizontal control networks, is the aim of this study. Some well‐known variance component estimation methods like Conventional, Helmert, MTNQUE, AUE, and Forstner, which have been developed to determine the stochastic model, necessary to be formed in a real way for adjusting geodetic nets, have been compared. For comparing the models mentioned above, concrete deciding criteria, using statistical tests, have been defined and the determination of which model is superior has been studied. For comparison of the models, numerical experiment using data, which belong to the part of Istanbul Metropolitan Triangulation Network (Asiatic side of Istanbul), has been performed.

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