Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Schaffrin, B."'
Publikováno v:
Journal of Geodetic Science, Vol 8, Iss 1, Pp 154-161 (2018)
This article studies the Optimal Biased Kriging (OBK) approach which is an alternative geostatistical method that gives up the unbiasedness condition of Ordinary Kriging (OK) to gain an improved Mean Squared Prediction Error (MSPE). The system of equ
Externí odkaz:
https://doaj.org/article/5f153d22289841b0bdc78b9b10482f32
Autor:
Schaffrin B., Snow K.
Publikováno v:
Journal of Geodetic Science, Vol 4, Iss 1 (2014)
Recently, it has been claimed that the Homogeneous Errors-In-Variables (HEIV) Model, where the lefthand side (LHS) vector is allowed to be multiplied with an unknown scale factor, would represent a generalization of the regular EIV-Model for which a
Externí odkaz:
https://doaj.org/article/b26810e972c54cc98e55e14ed4a728d8
Publikováno v:
Journal of Geodetic Science, Vol 4, Iss 1 (2014)
While the Errors-In-Variables (EIV) Model has been treated as a special case of the nonlinear Gauss- Helmert Model (GHM) for more than a century, it was only in 1980 that Golub and Van Loan showed how the Total Least-Squares (TLS) solution can be obt
Externí odkaz:
https://doaj.org/article/c2e327665f86473b94f045adacf32082
Publikováno v:
Computer-Aided Civil & Infrastructure Engineering. Sep2003, Vol. 18 Issue 5, p369-378. 10p.
Conference
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Minimax estimation is based on the idea, that the quadratic risk function for the estimate β is not minimized over the entire parameter space R^K, but only over an area B(β) that is restricted by a priori knowledge. If all restrictions define a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca6b25be24c49abb95c5c52758d27fce
This paper considers the estimation of the coefficient vector in a linear regression model subject to a set of stochastic linear restrictions binding the regression coefficients, and presents the method of weighted mixed regression estimation which p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0dd12467892ed5d9f3de9fb0e51186d
Autor:
Schaffrin, B., Toutenburg, Helge
Reliability measures in linear models are used in geodetic science and elsewhere to quantify the potential to detect outliers and to suppress their impact on the regression estimates. Here we shall study the effect of missing values on these reliabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de6a37e0b890622b54abc4f7fd7b040f
Autor:
Sansò, Fernando, Xu, Peiliang, Liu, Jingnan, Dermanis, Athanasios, Schaffrin, B., Felus, Y.A.
Publikováno v:
VI Hotine-Marussi Symposium on Theoretical & Computational Geodesy; 2008, p238-242, 5p
Autor:
Sansò, Fernando, Xu, Peiliang, Liu, Jingnan, Dermanis, Athanasios, Chen, Y., Schaffrin, B., Shum, C.K.
Publikováno v:
VI Hotine-Marussi Symposium on Theoretical & Computational Geodesy; 2008, p62-66, 5p