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.

least squares

a method of regression analysis. The line on a graph that best summarizes the relationship between two variables is the one that ensures that there is the least value of the sum of the squares of the deviation between the fitted curve and each of the original data points.
References in periodicals archive ?
NAVASCA, Some convergent results of the regularized alternating least squares method for tensor decomposition, Linear Algebra Appl.
It was established that in case of the method of the interpolation calculations and the least squares method with a smaller amount of stations, the TOA data only from those countries, between which the linear correlation coefficients with Kaunas Meteorological Station were the largest (over 0.
Approximation of the solution to a partial differential equation by the least squares method
the least squares method (Ljung, 1999) or we can use a neural network as artificial intelligence (Dreyfus, 2005).
Here, in order to obtain a best circle fit, we make use of the least squares method which minimizes the summed square of errors.
The characteristic constants for turbid solutions of the iron complex were computed by the least squares method using Eqs.
Algorithm 3 Dual Regularized Total Least Squares Method.
Key words: self-tuning, GPC, constrains, least squares method, laboratory model AMIRA DR300
To solve the equation system, the least squares method is used (see, for example, Bjerhammar (1973) for an in-depth treatment), which minimizes:
XLUS uses the same Non-Linear Least Squares Method as used to create radar graphics," said Yoshio Takaeda, CEO of SO-TI.
Estimators for regression parameters are determined by least squares method.

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