Weighted least squares

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Revision as of 22:19, 23 November 2007 by imported>Igor Grešovnik
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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. The weighted least squares method is particularly important in function approximation and in estimation of model parameters from measured data.