\emph{Total Least Squares and Errors-in-Variables Modeling : Analysis, Algorithms and Applications}, (Eds. S. Van Huffel, P. Lemmerling), Kluwer Academic Publishers, Dordrecht, The Netherlands, 2002status: publishe
In this work we study the least squares and the total least squares problem for the solution of line...
Thesis (Ph.D.)--University of Washington, 2018We revisit and make progress on some old but challengi...
Charles University in Prague Faculty of Mathematics and Physics ABSTRACT OF DOCTORAL THESIS Michal P...
www.oeaw.ac.at www.ricam.oeaw.ac.at Regularized total least squares: computational aspects and error...
. We pose and solve a parameter estimation problem in the presence of bounded data uncertainties. Th...
This thesis analyzes an errors-in-variables model. It compares parameter estimation methods least sq...
Recent advances in total least squares approaches for solving various errors-in-variables modeling p...
SIGLEKULeuven Campusbibliotheek Exacte Wetenschappen / UCL - Université Catholique de LouvainBEBelgi...
This paper discusses point estimation of the coefficients of polynomial measurement error (errors-in...
Numerical analysts and statisticians are both concerned with errors in their least squares and regre...
Fitting a surface to a given set of measurements is an essential function for engineers and geodesis...
We review the development and extensions of the classical total least squares method and describe al...
We review the development and extensions of the classical total least squares method and describe al...
The class of total least squares methods has been growing since the basic total least squares method...
Abstract:In classical regression analysis, the error of independent variable is usually not taken in...
In this work we study the least squares and the total least squares problem for the solution of line...
Thesis (Ph.D.)--University of Washington, 2018We revisit and make progress on some old but challengi...
Charles University in Prague Faculty of Mathematics and Physics ABSTRACT OF DOCTORAL THESIS Michal P...
www.oeaw.ac.at www.ricam.oeaw.ac.at Regularized total least squares: computational aspects and error...
. We pose and solve a parameter estimation problem in the presence of bounded data uncertainties. Th...
This thesis analyzes an errors-in-variables model. It compares parameter estimation methods least sq...
Recent advances in total least squares approaches for solving various errors-in-variables modeling p...
SIGLEKULeuven Campusbibliotheek Exacte Wetenschappen / UCL - Université Catholique de LouvainBEBelgi...
This paper discusses point estimation of the coefficients of polynomial measurement error (errors-in...
Numerical analysts and statisticians are both concerned with errors in their least squares and regre...
Fitting a surface to a given set of measurements is an essential function for engineers and geodesis...
We review the development and extensions of the classical total least squares method and describe al...
We review the development and extensions of the classical total least squares method and describe al...
The class of total least squares methods has been growing since the basic total least squares method...
Abstract:In classical regression analysis, the error of independent variable is usually not taken in...
In this work we study the least squares and the total least squares problem for the solution of line...
Thesis (Ph.D.)--University of Washington, 2018We revisit and make progress on some old but challengi...
Charles University in Prague Faculty of Mathematics and Physics ABSTRACT OF DOCTORAL THESIS Michal P...