Weighted least squares: Difference between revisions

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'''Weighted least squares''' is a method of linear regression similar to the ordinary [[least squares]] method, except that points are weighted, which causes that some points have greater effect on the approximation than the others.
'''Weighted least squares''' is a method of linear regression similar to the ordinary [[least squares]] method, except that points are weighted, which causes that some points have greater effect on the approximation than the others. The weighted least squares method is particularly important in function approximation and in estimation of model parameters from measured data.

Revision as of 23:19, 23 November 2007

Weighted least squares is a method of linear regression similar to the ordinary least squares method, except that points are weighted, which causes that some points have greater effect on the approximation than the others. The weighted least squares method is particularly important in function approximation and in estimation of model parameters from measured data.