Regression prediction method that is based on the partial errors-in-variables model
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[1] S. Jazaeri,et al. Weighted total least squares formulated by standard least squares theory , 2012 .
[2] Sabine Van Huffel,et al. The use of total least squares data fitting in the shape-from-moments problem , 2006, Signal Process..
[3] Gene H. Golub,et al. An analysis of the total least squares problem , 1980, Milestones in Matrix Computation.
[4] Hong-Xia Wang,et al. Iterative weighted estimation based on variance modelling in linear regression models , 2019, Commun. Stat. Simul. Comput..
[5] Bofeng Li,et al. An iterative solution of weighted total least-squares adjustment , 2011 .
[6] Chuang Li,et al. Seamless multivariate affine error-in-variables transformation and its application to map rectification , 2013, Int. J. Geogr. Inf. Sci..
[7] Xing Fang,et al. Weighted total least-squares with constraints: a universal formula for geodetic symmetrical transformations , 2015, Journal of Geodesy.
[8] Yongjun Zhou,et al. A Newton algorithm for weighted total least-squares solution to a specific errors-in-variables model with correlated measurements , 2014, Studia Geophysica et Geodaetica.
[9] Chuang Shi,et al. Total least squares adjustment in partial errors-in-variables models: algorithm and statistical analysis , 2012, Journal of Geodesy.
[10] Norhashidah Awang,et al. Multiple linear regression and regression with time series error models in forecasting PM10 concentrations in Peninsular Malaysia , 2018, Environmental Monitoring and Assessment.
[11] Yibin Yao,et al. On total least squares for quadratic form estimation , 2015, Studia Geophysica et Geodaetica.
[12] S. Jazaeri,et al. Iterative algorithm for weighted total least squares adjustment , 2014 .