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《Engineering of Surveying and Mapping》 2015-01
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The new algorithm of parameter estimation for linear regression on total least squares

XU Tao;LIU Guo-shi;YU You;WU Ze-qiang;No.402Geological Prospecting Team of Hu'nan Province;Hunan Province Survey and Design Insitute;School of Geology Engineering and Geomatics,Chang'an University;  
With a linear regression of total least squares adjustment model launched,a total least squares iterative algorithm is derived from the constraint condition that the sum of squares of correction of dependent variable and independent variables is minimum.The model is extended to the multivariate linear regression,and further developed to the total least squares linear regression model algorithms.Through the example analysis,the results show that the algorithm is feasible and reasonable.
【CateGory Index】: P207
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