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Dive into the research topics where Tao Benzao is active.

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Featured researches published by Tao Benzao.


Geo-spatial Information Science | 2002

Multi-quadric Equations Interpolation and Its Applications to the Establishment of Crustal Movement Speed Field

Yao Yibin; Liu Jingnan; Shi Chuang; Tao Benzao

In this paper, multiquadric equations interpolation is used to establish a widely covered and valuable speed field model, with which the crustal movement image is obtained.


Geo-spatial Information Science | 1998

OUTLIER DETECTION AND RELIABILITY OF ADJUSTMENT MODELS WITH SINGULAR COVARIANCE MATRICES

Wang Jinling; Cheng Yongqi; Tao Benzao

Up to now, outlier detection and reliability theory are generally based on the regular Gauss-Markov models, in which the covariance matrix of observations is positively definite. For the adjustment models with singular covariance matrix, the statistics for outlier detection are derived by the authors. The corresponding reliability theory is developed. And the application of the theory is demonstrated with a practical example.


Geo-spatial Information Science | 2006

Generalized Penalized Least Squares and Its Statistical Characteristics

Ding Shijun; Tao Benzao

The solution properties of semiparametric model are analyzed, especially that penalized least squares for semiparametric model will be invalid when the matrixBTPB is ill-posed or singular. According to the principle of ridge estimate for linear parametric model, generalized penalized least squares for semiparametric model are put forward, and some formulae and statistical properties of estimates are derived. Finally according to simulation examples some helpful conclusions are drawn.


Geo-spatial Information Science | 2005

A new method for indentifying the model error of adjustment system

Tao Benzao; Zhang Chaoyu

Some theory problems affecting parameter estimation are discussed in this paper. Influence and transformation between errors of stochastic and functional models is pointed out as well. For choosing the best adjustment model, a formula, which is different from the literatures existing methods, for estimating and identifying the model error, is proposed. On the basis of the proposed formula, an effective approach of selecting the best model of adjustment system is given.


Geo-spatial Information Science | 1998

THE ESTIMATION OF VARIANCE AND COVARIANCE COMPONENTS FOR GPS BASELINE NETWORK BY MINQUE METHOD

Wang Xinzhou; Liu Jingnan; Tao Benzao

This paper studies the estimation of variance and covariance components for GPS baseline network by MINQUE method. The fundamental rule for selecting variance-covariance model has been presented, and the alternative algorithm which simultaneouly estimates fixed variance components and scalled variance components of the distance, azimuth and geodetic height difference for a GPS baseline vector has been developed.


Geomatics and Information Science of Wuhan University | 2008

Kalman Filtering of Linear System with Colored Noises

Tao Benzao


Science of Surveying and Mapping | 2004

Semiparametric model and appliation of deformation analysis

Tao Benzao


Journal of Nanjing University of Information Science & Technology | 2009

Modern adjustment model and its application

Tao Benzao


Geomatics and Information Science of Wuhan University | 2007

Robust Kalman Filtering of Linear System with Colored Noises

Tao Benzao


Science of Surveying and Mapping | 2006

Collocation of nonlinear system considering quadratic terms in successive steps

Tao Benzao

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