Examples of 'least squares' in a sentence
Meaning of "least squares"
Least squares: a method used in statistics to find the best-fitting line by minimizing the sum of the squares of the vertical deviations from each data point to the line
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- A method of fitting a straight line through a series of points such that the sum of the squares of the residuals is minimized
How to use "least squares" in a sentence
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least squares
Define the vector of least squares residuals e by.
Least squares means for treatments are reported.
Determine the least squares trend equation.
One method of estimation is ordinary least squares.
A nonlinear least squares algorithm is presented hereinafter.
This was done using the method of least squares.
The method of least squares has been used.
H is chosen by an estimation in the least squares sense.
The generalized least squares procedure was used.
The discovery of the method of least squares.
Least squares mean adjusted for baseline value.
This method is called least squares estimation.
Least squares fitted calculations were done for each spectra.
With application of the least squares method.
The nonlinear least squares algorithm is an iterative algorithm.
See also
The estimators used are of least squares type.
Least squares with dummy variables.
Errors are distributed by least squares adjustment.
Least squares and regression analysis.
It is estimated by the method of ordinary least squares.
That gives rise to least squares model fitting.
Lines were fitted by the method of least squares.
See partial least squares regression.
Least squares can be interpreted as a method of fitting data.
The parabola is found by a least squares fit.
The generalized least squares procedure can be applied.
Relations were analysed by ordinary least squares regression.
The least squares method requires a matrices inversion.
Introduction to weighted least squares and beyond.
Least squares analysis using finite elements MSc thesis.
Regression using least squares is the most suitable.
Circle fitting by linear and nonlinear least squares.
Or ordinary least squares regression and.
Practical aspects of evaluation by the method of least squares.
The ordinary least squares and optimization approach.
Adjustment by the method of least squares.
Three stage least squares results.
This function is based on the method of least squares.
The vector of least squares estimators for the components of is.
Signal processing system involving a least squares method.
It arises in the least squares approximation of arbitrary functions by polynomials.
Corresponding curve can be plotted by a least squares procedure.
Ordinary least squares regression.
Where the method of least squares.
Discrete least squares approximation.
This can be done notably by means of a least squares method.
Discounted least squares method.
Allowing for linear constraints in a least squares sense.
Generalised least squares estimator.
Least squares linear regression.
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Examples of using Squares
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Punnett squares to predict possible genetic outcomes
The least error squares method gave
Both squares appear at the same time
Examples of using Least
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At least the baby puts up a bit of a fight
Who built it is the least of our concerns
At least have the decency to be straight with me
