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Now, (3) can be solved using linear regression methods while taking input in natural logarithmic form.
Linear regression methods were used to model BP response for the 2 groups.
The regression line for double bark thickness was calculated using standard linear regression methods following the form of Eq. 4.
A kinetic model is proposed and the kinetic parameters have been estimated by non linear regression methods.
Multivariate analysis of variance and linear regression methods were used to analyze the metabolic changes underlying aging.
Linear regression methods were used (±95% CI) to compare data as a function of spinal level and region.
The parameter estimates are consistent and have tighter confidence bounds than those produced by other linear regression methods.
To learn if these coding categorizations related significantly to the number of interactions, the data were analyzed with linear regression methods using the SPSS statistical software package.
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These datasets, considered representative of state-of-the-art for isotherm experiments, had been previously analyzed using trial-and-error, linearization, or non-linear regression methods.
These approaches include multi-detector methods, manifold embedding methods, and non-linear regression methods.
Kisi et al. (2013) simulated the discharge coefficient of rectangular side weirs using ANFIS and concluded that ANFIS performs much better than linear and non-linear regression methods.
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