Survey Control Networks: Proceedings |
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Page 225
... possible variations around the estimated values of the coordinates ( confidence regions ) . The possible variation because of the stochastical properties of the coordinates is called precision of the network . The second reason for possible ...
... possible variations around the estimated values of the coordinates ( confidence regions ) . The possible variation because of the stochastical properties of the coordinates is called precision of the network . The second reason for possible ...
Page 296
... possible is , commencing from the Po , to carry out an increase in stan- dard of individual observations σ oj i in proportion to the K , coefficients , for the following elements of vectors of possible standards of observation M ...
... possible is , commencing from the Po , to carry out an increase in stan- dard of individual observations σ oj i in proportion to the K , coefficients , for the following elements of vectors of possible standards of observation M ...
Page 335
... possible , but for many purposes changes in coordinates with small amounts may be just troublesome and useless . Converseley the coordinates of the fundamental network may be so much in error , that the better scale from the local ...
... possible , but for many purposes changes in coordinates with small amounts may be just troublesome and useless . Converseley the coordinates of the fundamental network may be so much in error , that the better scale from the local ...
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Common terms and phrases
according accuracy additional adjustment analysis angles applied areas assumed BAARDA base blocks calculated carried complete components computed condition connection considered constraints control networks coordinates corrections correlation corresponding course covariance matrix criterion matrix defined definition deformation densification networks depends derived described determined developed direction distances effect eigenvalues elements ellipses equations errors estimates example existing field Figure formula function geodetic networks given gives Introduction inverse Italy known leads least squares levelling linear mapping mathematical means measurements method necessary nets normal observations obtained optimization order design parameters points position possible practical precision presented problem procedure programming quantities reference relation relative reliability respect scale solution standard stations stochastic survey techniques testing transformation unknowns values variance variance-covariance matrix variates vector weight zero