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The classical procedure is based on few wellknown simple assumptions: This statistic can be used to discriminate significant from non-significant displacements at the significance level D . We choose to perform a twotails test, where the two hypotheses acceptance regions are: 1 D  2 2 1 D - pB t  2 2 H0: non-significant displacements - p B d H1: significant displacements and we derive the following test rule: TB  1 D 1 D x accept H0 x (14) TB ! 1 D 1 D x accept H1 discriminant values of the test statistic TB may be derived just inserting in these expressions the significance level D .

E. , Tiao G. C. (1992). Bayesian Inference in Statistical Analysis. , New York Chichester Brisbane Toronto Singapore. Koch K. R. (1990). Bayesian Inference with Geodetic Applications. Number 31 in Lecture Notes in Earth Sciences. Springer, Berlin Heidelberg New York. G. A. Massinas Department of Surveying Engineering, Higher Geodesy Lab & Dionysos Satellite Observatory National Technical University of Athens, Zografou Campus, 9 Heroon Polytechniou, 15780 Athens, Greece G. Bartha Faculty of Earth Science and Engineering, Dept.

2 Problem Description, Data Arrangement, Past Investigation and Objectives The observed geoid undulations as the difference: N signal h GPS  H measured (1) can in fact be considered as raw Earth signals carrying information about Newtonian effects caused by the total mass-density distribution within the Earth. The goal is therefore to depict from these signals information about the local Newtonian effects from upper mass layers. This can be done by using Global Gravity Field Models to eliminate numerically the effect of trends or global / regional Newtonian effects that exist in these raw signals.

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50000 Vdc Power Supply


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