Sentence examples for estimation of the regression from inspiring English sources

To further improve the performance of the regression-based methods, we propose shrinkage regression-based methods which use a shrinkage estimator to replace the least square estimator for the estimation of the regression coefficients in the regression model.

As an external validating measure we compared the estimated parametric curve with nonparametric estimation of the regression function and calculated its derivatives with kernel regression estimators and automatically adapted local plug-in bandwidth function.

When the data used to fit a nonparametric regression model are contaminated with outliers, we need to use a robust estimator of scale in order to make robust estimation of the regression function possible.

This is accomplished without prior estimation of the regression function.

This paper considered the estimation of the regression parameters of a general probit regression model.

Their dependence on the CDH setting parameters was next examined using the empirical estimation of the regression equation.

Because of the configuration of happiness and social support as latent variables, differences among the item parameters could yield, hypothetically, different estimation of the regressions coefficients between rural and urban groups.

Closed testing elimination concentrates on increases in the risk whereas RIR achieves a complete re-estimation of the regression line with overall improvement in the fit.

To test whether the differences between panel participants and non-participants might have biased the estimations of the regression analyses, we implemented a bivariate probit model with sample selection (which makes it possible to test for the presence of selection bias and to correct it, see the Appendix for a further explanation of this model) (Heckman, 1979, Greene, 2003, Obrizan, 2010).

The design allows estimation of all the regression parameters required to fit a second-order model of given responses.

In our estimation of the parametric regression based estimators, since y is a binary variable, equation 3 above is effectively a parametric probabilistic model.