least-squares method


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least-squares method

[¦lēst ′skwerz ‚meth·əd]
(statistics)
A technique of fitting a curve close to some given points which minimizes the sum of the squares of the deviations of the given points from the curve.
References in periodicals archive ?
It is for this reason that robust alternatives to the usual least-squares method have not been properly used in practice (Efron, 1982).
A similar algorithm based on the least-squares method was described by Ubi (1989).
Wait time cannot be negative, and this artificial effect due to the least-squares method can be fixed by lifting the lower limit to zero as a post hoc fix in practice.
As an alternative to using the automatically calculated semivariogram (calculated using the weighted least-squares method (Gribov et al.
The least-squares method is used to identify the optimal parameters.
The least-squares method was used to adjust the Kelvin model parameters, and a Levenberg-Marquardt non-linear least-squares regression procedure was used to determine the creep parameters in the power model.
Complex, but more effective adaptive determination of the temperature dependence coefficients using the least-squares method.
In the area of the regression analysis students could be induced to draw regression line by means of scatter plot, as well as to demonstrate why least-squares method is much more precise than the subjective judgment.
Linear regression analysis by the least-squares method was performed using the StatView[R] statistics program (Abacus Concepts).
Accordingly, the RMSE of the least-squares method is almost twice the size of the Deming case.