Examples of 'least squares regression' in a sentence
Meaning of "least squares regression"
least squares regression: This is a statistical method used to analyze the relationship between variables by finding the best-fitting linear equation
How to use "least squares regression" in a sentence
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least squares regression
Relations were analysed by ordinary least squares regression.
Or ordinary least squares regression and.
Models were generated using partial least squares regression.
Ordinary least squares regression.
The results are from an ordinary least squares regression.
Linear least squares regression.
Calibration lines were fitted by weighed least squares regression analysis.
Least squares regression is usually used with continuous response variables.
See partial least squares regression.
The estimation results are obtained from a weighted least squares regression.
The least squares regression line can be found using a graphing calculator.
The line plotted is calculated by least squares regression analysis.
Line shows the least squares regression fitted after arcsine transformation of the data.
The remainder of the article assumes an ordinary least squares regression.
The least squares regression line is shown for the dataset for each concentration.
See also
The approach is also called the least squares regression line.
Ordinary Least Squares regression was used in conducting the analysis.
Calibration curves were established using an iteratively reweighed linear least squares regression.
The metering system uses least squares regression to fit the data in FIG.
A farm level supply curve for producers was developed using least squares regression.
Ordinary least squares regression assumes that φ ∞.
The symbols are the measurements used to find the model parameters vía least squares regression.
The general form of this least squares regression line is,.
Taxa responses along this macrophyte production gradient were modeled using partial least squares regression.
Partial least squares regression and projection on latent structure regression PLS-Regression.
This familiar loss function is used in Ordinary Least Squares regression.
In yet another embodiment, ordinary least squares regression or unconditional logistic regression is used.
Corymbifera strains, were identified by discriminant-partial least squares regression analysis.
The partial least squares regression analysis may be a linear or a non-linear partial least squares analysis.
To this end, this study adopts a multiple ordinary least squares regression method.
Least squares regression analysis was performed on σ - Rm and Einc-Rm relationships.
According to a further embodiment, the regression analysis comprises a partial least squares regression analysis.
They advise re-running Partial Least Squares regression on each of these groups.
The method of claim 4 wherein said predictive model is determined by a linear least squares regression.
In particular, least squares regression techniques were used to identify a fitted curve 330.
A method according to claim 1, wherein the regression analysis is an ordinary least squares regression analysis.
IC50 values were determined from a least squares regression of a logit-log transformation of the data.
The theoretical model was fitted to the experimental data using non-linear least squares regression.
IC50 values were obtained from a least squares regression of a logit-log transformation of the data.
IC50 values were subsequently determined by a non-linear, least squares regression analysis.
Partial Least Squares regression ( PLSR ) Let a multivariate regression model be defined as, EPMATHMARKEREP where.
NOTE, Means were predicted using ordinary least squares regression models.
In statistics, the generalized linear model ( GLM ) is a flexible generalization of ordinary least squares regression.
Quantitation was performed using a weighted ( 1/X2 ) linear least squares regression analysis generated from calibration standards.
Figure 14, A single reactor run was used to calculate model parameters vía least squares regression.
IC50 values were determined by a non-linear, least squares regression analysis using Data Analysis Toolbox.
IC50 values were determined by a non-linear, least squares regression.
Item 11, The method of item 10, wherein the regression analysis comprises a partial least squares regression analysis.
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