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Through analyzing the correspondence between the regression function monotonicity and its partial derivative sign, the effect of the SAW yarn tension sensor substrate size on the sensitivity of the SAW yarn tension sensor was investigated.
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end{aligned} (3)where the constant (C > 0) determines the trade-off between the flatness of the regression function (fleft( x right)) and the threshold up to which, deviations larger than ε are tolerated.
The relationship between carotid intima media thickness is plotted in Figure 2 with the regression function overlaid.
A standardization of the regression function omits multicollinear effects and simplifies the regression function.
Reference [24] proposed a nonparametric estimator of the regression function by combining local polynomial regression and M-estimation regression.
This is accomplished without prior estimation of the regression function.
The wavelet procedures are developed to estimate the regression function.
Multivariate regression analyses comprised the following working steps [27]: Setting the framework for the regression model, estimation of the regression function, verification of the regression function and coefficients as well as verification of the underlying assumptions of the regression model.
Several frameworks adopted SVM to implement the regression functions that support the actual mapping between the feature space and the quality score.
The regression functions are estimated by regression splines and Horvitz Thompson technique.
The correlation matrix in Table 4 reveals that the largest correlation of variables used in the same regression function is between the absolute value of operating cash flow and total accruals.
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