Total Least Squares and Errors-in-Variables Modeling : Analysis, Algorithms and Applications

By S. Van Huffel, P. Lemmerling. 2002

121 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Overview of total least-squares methods (2007, methodology): “While the latter book is entirely devoted to total least squares, a second [81] and third [82] edited books present the progress in total least squares and in the field of errors-in-variables modeling respectively from 1990 till 1996 and from 1996 till 2001.”
Settable Systems: An Extension of Pearl's Causal Model with Optimization, Equilibrium, and Learning (2009, background): “These models are the subject of a vast literature in statistic nd econometrics (see, e.g., van Huffel and Lemmerling, 2002, and the references there).”
An iterative solution of weighted total least-squares adjustment (2011, background): “From a theoretical point of view, a great number of algorithms have been developed to solve the homoscedastic (Schaffrin et al. 2006; Schaffrin and Felus 2008), weighted (Van Huffel and Vandewalle 1989; Markovsky et al. 2006; Schaffrin and Wieser 2008), constrained (Schaffrin and Felus 2005; Schaffr”