Sentence examples for parameter regression from inspiring English sources

The proposed parameter regression strategy has proven successful for the LiCl+H2O system.

The proposed methods are represented by two frameworks: the quantile regression technique (QRT) and parameter regression technique (PRT).

Thirty-one sets of kinetic data collected at 220 °C with a low extent of deactivation were used for kinetic parameter regression.

The average root mean square error associated with a 20-fold cross-validation analysis with permuted SMAR parameter regression models increases moderately (0.082 [cm3 cm−3], s.e. = 0.004).

In this paper, the systematic and efficient development of multi-scale models, their interconnections, analysis, parameter regression and solution through the modelling framework is presented.

Using the data from 399 catchments in eastern Australia, the BGLS-ROI is constructed to regionalise the flood quantiles (Quantile Regression Technique (QRT)) and the first three moments of the log-Pearson type 3 (LP3) distribution (Parameter Regression Technique (PRT)).

The second type of evidence is based on time-varying parameter regressions.

Note that for GMA models, the least square parameter regressions in the last step are linear in the logarithmic scale and thus, can be performed very efficiently.

A three-parameter regression equation has been derived which satisfactorily describes the ex vivo inhibitory potency of ChoK of the title compounds.

A tentative method based on multi-parameter regression of experimental data is proposed to determine the wave transmission performance of ITP.

In the one-parameter regression model with AR(1) and AR(2) errors we find explicit expressions and a continuous approximation of the optimal discrete design for the signed least square estimator.