Examples of 'least square' in a sentence
Meaning of "least square"
least square ~ a statistical method used to fit the best possible line to a set of data points by minimizing the sum of the squared differences between the observed and predicted values
How to use "least square" in a sentence
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least square
Least square means and standard errors were calculated.
It is also noted that least square regression is asymmetric.
The least square method is a global approximation method.
Convergence can be obtained using a least square method.
Ordinary least square technique is used to estimate the model.
Stiffness was the slope of least square fit line.
Least square method and refinement of ordered and disordered structures.
Values are least square means.
The regression slope is calculated by the least square method.
Least square problems.
Analysis of the data was performed by nonlinear least square fitting.
Least square mean rectal temperatures were measured for both groups.
Likelihood scores were fitted to sigmoid functions by least square method.
Least square mean.
The theory and implementation of a least square polynomial approximation is first described.
See also
The least square value is calculated based on the assumed first edge.
An alternative method is to perform a least square fit to a block of the running averages.
The approximate circle is obtained by a known method such as a least square method.
Possible to obtain least square estimates through extensive calculation on more complex formulae.
Spatial distribution of leaf area is estimated by nonlinear least square optimization technique.
The least square fitting method can then be performed on only these points.
This method utilizes a technique referred to as the least square fitting technique.
The smallest least square value identifies the actual first edge number.
The computed lag is the lag that yields the least square error.
The straight line indicates a least square fit of the experimental data points.
The result is a linear equation system that may be solved in least square sense.
The least square method is used to calculate the coefficients for all linear approximations.
A more accurate way of finding the line of best fit is the least square method.
But ordinary least square methods provide biased estimates when the dependent variable is truncated.
The solid blue and grey lines correspond to the least square fit of the data.
Therefore Gauss least square means are used to estimate these parameters.
The polynomial fitting calculates a polynomial that approximates the data in a least square error sense.
The problem then arises of the least square minimization of a non linear objective function B.
The automatic detection of the decay curve and its slope estimation through a least square approximation.
Application of the least square algorithm results in the following estimate of R.
EPMATHMARKEREP and was controlled by the least square statistical analysis.
The least square coefficients for the refined model are shown in Table IX.
The model was estimated using the unweighted least square ULS method.
Least Square Moving Average is an indicator capable of predicting future behavior of the asset.
Utilizing the Hermite polynomials simplifies the least square analysis as described below.
Least square mean body weight ( lb ) and body condition score by treatment groups.
Nevertheless, it has the least square solution.
A non-linear least square regression program was used to evaluate the models constants.
Particularly, the present invention may use least square estimation.
In another embodiment, a least square approach is taken instead of an exhaustive search.
According to a feasible embodiment, the approximation method is least square method.
To compare the resulting precision of least square adjustments, a checkpoint was added with fixed coordinates.
On the whole, they do not differ significantly from the least square estimates.
In fact, computation of the least square fitting algorithm is quicker with less data points.
The measure of this capability may be, for example, a normalized least square fit.
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At least the baby puts up a bit of a fight
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At least have the decency to be straight with me
