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Titlebook: IX Hotine-Marussi Symposium on Mathematical Geodesy; Proceedings of the S Pavel Novák,Mattia Crespi,Fernando Sansò Conference proceedings 2

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Controlling the Bias Within Free Geodetic NetworksUniformly Minimum Biased Estimate) in a rank-deficient Gauss-Markov Model as typically employed for free geodetic network analyses. Nonetheless, more often than not, the partial-MINOLESS is preferred where a selection matrix . is used to only minimize the first . components of the solution vector, t
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Regularized Solutions of the Two Layers Inverse Gravimetric Problem in the Space of Bounded Variatioexterior of .. If the constant density of the two layers is given, the problem is reduced to the determination of the geometry of the interface between the two. The problem is known to be ill posed and therefore it needs a regularization, that for instance could have the form of the optimization of
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Converted Total Least Squares Method and Gauss-Helmert Model with Applications to Coordinate Transfoal-EIV model are firstly reviewed with respect to their advantages and disadvantages. Then a newly developed Converted Total Least Squares (CTLS) dealing with the errors-in-variables (EIV) model is introduced. The basic idea of CTLS has been proposed by the authors in 2010, which is to take the stoc
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A Bayesian Nonlinear Regression Model Based on t-Distributed Errorse calculation of the posterior model parameters is feasible without linearisation of the functional model. Furthermore, the integration of prior model parameters in the form of any family of prior distributions is demonstrated. Since the posterior density is then generally non-conjugated, Monte Carl
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https://doi.org/10.1007/978-3-030-54267-2Theoretical Geodesy; Geodetic Modeling/Data Processing; Gravity Field; Reference Frames; Inverse Problem
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978-3-030-54269-6Springer Nature Switzerland AG 2021
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International Association of Geodesy Symposiahttp://image.papertrans.cn/i/image/460669.jpg
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