least squares

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least squares

(lēst skwārz),
A principle of estimation invented by Gauss in which the estimates of a set of parameters in a statistical model are the quantities that minimize the sum of squared differences between the observed values of the dependent variable and the values predicted by the model.
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References in periodicals archive ?
Given all points contributing to a certain cell, a nonlinear least-squares estimation model is used to adjust the line parameters of that cell.
2001) can be written using the least-squares estimation technique.
Regression 4 uses a static-score model that is estimated using a two-stage least-squares estimation with a fixed-and-period effects specification.
Ninness, "Least-squares estimation of a class of frequency functions: a finite sample variance expression," Automatica, vol.
The filter parameters (11) leading to both the unbiased and least-squares estimations of system (8) are described by

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