abstract: longley's data set is used as a basis for the following projects: firstly, to assess the numerical accuracy of the least squares procedures of several computer software packages. secondly, to calculate farebrother's single limit condition number empirically. finally, to assess the numerical effect of repeated matrix inversions. it mainly appears that mean-centering of the variables can substantially improve the numerical accuracy and stability of the computed ols-estimates. key words:numerical accuracy, ols-procedure, longley's test problem, condition number.
Probability density functions were derived for errors in the evaluation of unknowns by the least squ...
The numerical property of the recursive least squares (RLS) algorithm has been extensively studied. ...
A digital computer program for calculating least-squares solutions and making analyses of variance o...
AbstractIn a detailed study of the accuracy of the Cholesky method for solving least squares equatio...
A formula for the least-squares best fit line was derived. A computer program was made to calculate ...
Abstract The article studies the least squares method and its application for estimating measuremen...
International audienceIn this paper we are interested in computing linear least squares (LLS) condit...
In this paper, we address the accuracy of the results for the overdetermined full rank linear least ...
The preferred method of data analysis of quantitative experiments is the method of least squares. Of...
www.oeaw.ac.at www.ricam.oeaw.ac.at Regularized total least squares: computational aspects and error...
Numerical tests are used to validate a practical estimate for the optimal backward errors of linear...
Algorithms and original data matrix approaches compared for linear least squares proble
Linear least squares (LLS) is a classical linear algebra problem in scien-tific computing, arising f...
The results of a numerical investigation into the errors for least squares estimates of function gra...
Linear least squares (LLS) is a classical linear algebra problem in scientific computing, arising fo...
Probability density functions were derived for errors in the evaluation of unknowns by the least squ...
The numerical property of the recursive least squares (RLS) algorithm has been extensively studied. ...
A digital computer program for calculating least-squares solutions and making analyses of variance o...
AbstractIn a detailed study of the accuracy of the Cholesky method for solving least squares equatio...
A formula for the least-squares best fit line was derived. A computer program was made to calculate ...
Abstract The article studies the least squares method and its application for estimating measuremen...
International audienceIn this paper we are interested in computing linear least squares (LLS) condit...
In this paper, we address the accuracy of the results for the overdetermined full rank linear least ...
The preferred method of data analysis of quantitative experiments is the method of least squares. Of...
www.oeaw.ac.at www.ricam.oeaw.ac.at Regularized total least squares: computational aspects and error...
Numerical tests are used to validate a practical estimate for the optimal backward errors of linear...
Algorithms and original data matrix approaches compared for linear least squares proble
Linear least squares (LLS) is a classical linear algebra problem in scien-tific computing, arising f...
The results of a numerical investigation into the errors for least squares estimates of function gra...
Linear least squares (LLS) is a classical linear algebra problem in scientific computing, arising fo...
Probability density functions were derived for errors in the evaluation of unknowns by the least squ...
The numerical property of the recursive least squares (RLS) algorithm has been extensively studied. ...
A digital computer program for calculating least-squares solutions and making analyses of variance o...