Summary
The recent results obtained in optimum processing of data affected by a systematic influence, mainly the equivalent algorithms of processing them on the basis of the observation vector before and after the optimum elimination of the nuisance affects are applied for processing the results obtained by a group of gravimeters within one daily section. Such equivalent procedures yield and important check of the correctness and numerical stability of the results obtained. New statistical models respecting the individual character of a measurement device are used to process the results obtained by a group of gravimeters. The efficiency of the obtained new estimators, in comparison with the efficiency of estimators obtained from the models usually used is surprisingly higher. In the new models, which also respect the presence of nuisance parameters, equivalent procedures have been elaborated. This means that the data processing algorithms are given on the basis of the observation vector before and also after optimum elimination of the nuisance parameters. Such equivalent procedures provide an important check of the correctness and numerical stability of the results obtained.
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References
A. Ben-Israel, T.N.E. Greville: Generalized Inverses — Theory and Applications. J. Wiley, New York 1974.
J. Kleffe: C. R. Rao's MINQUE for replicated and multivariate observations. Springer Lecture Notes in Statistics, Vol. 2, New York 1980, pp. 188–200.
K.R. Koch: Parameterschätzung und Hypothesentests in linearen Modellen. Bonn, Dümmler 1980 (in German).
L. Kubáček: Estimation of the first and second order parameters in regression models with special structure. Journal of Statistical Planning and Inference,30 (1992), 195–211.
L. Kubáčková, L. Kubáček, J. Kukuča: Probability and Statistics in Geodesy and Geophysics. Elsevier, Amsterdam-Oxford-New York-Tokyo 1987.
L. Kubáčková: Optimum procedures for processing geodetic measurements performed by a group of instruments. Geodet. a kartogr. obzor,36/78 (1990), 157–162 (in Slovak).
L. Kubáčková, L. Kubáček: Elimination transformation of an observation vector preserving information on the first and second order parameters. Technical Report No.11, Institute of Geodesy, University of Stuttgart 1990.
L. Kubáčková: The locally best estimators of the first and second order parameters in epoch regression models. Application of Mathematics,37 (1992), 1–12.
B. Schaffrin: Best invariant covariance component estimators and their application to the generalized multivariate adjustment of heterogeneous deformation observations. Bull. Géodés.,55 (1981), 73–85.
B. Schaffrin, E. Grafarend: Generating classes of equivalent linear models by nuisance parameter elimination. — Application to GPS — observations. Manuscripta Geodaetica,11 (1986), 262–271.
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Kubáčková, L., Kubáček, L. Statistical models with nuisance parameters as applied to an experiment performed by a group of devices. Stud Geophys Geod 38, 333–351 (1994). https://doi.org/10.1007/BF02296166
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DOI: https://doi.org/10.1007/BF02296166