Sentence examples for two goodness from inspiring English sources

The two goodness of fit tests considered in this paper are: 1.

The proposed approach has been tested based on the results achieved using two goodness of fit indicators, Nash-Sutcliffe efficiency coefficient and median LH value which confirms high potential of designed GRNN for ranking of ground motion prediction equations.

We compare the calibrated modeling result with those generated by the uncalibrated UBEM and a separate null model, applying two goodness of fit metrics to evaluate model accuracy: percent area match (PAM) quantity and PAM location were used to demonstrate that the calibrated UBEM performed better than the uncalibrated UBEM and null model when modeling the change in the urban boundary.

Two goodness of fit measurements, mean absolute error (MAE) (Eq. (2)) and root mean squared error (RMSE) (Eq. (3)), were used to evaluate the fitted function onΩ v. MAE is the average absolute value of the difference between the observed accuracy (y j) and the predicted accuracy (y ⌢ j ).

Two goodness-of-fit criteria are utilized for determining the best number of change points to avoid over-fitting.

This paper demonstrates the use of a two-component error model in setting limits of detection and related concepts and introduces two goodness-of-fit statistics for assessing the appropriateness of the model for the data at hand.

The results were found on the basis of two goodness-of-fit tests: the maximum likelihood criterion with its modification to Akaike information criterion (AIC) and the Kolmogorov-Smirnov (K-S) minimum distance criterion.

Here we discuss several important applications of the model to environmental monitoring and also introduce two goodness-of-fit statistics, to ascertain whether the data exhibit the error structure assumed by the model, as well as to look for problems with experimental design.

Because one of the two goodness-of-fit tests for the Poisson model indicated lack of fit, we used a multi-level model.

To determine the best fit LGMM to the data, we used two goodness-of-fit indexes, Akaike information criterion, and Bayesian information criterion, as well as residual diagnostics (17).

For the two goodness-of-fit indicators, the MM-estimate has the lowest MAE (0.0946, Column 4) and the second lowest RMSE (0.1199, Column 5), whilst the ordinary least squares estimate has the lowest RMSE (0.1193, Column 5) and the second lowest MAE (0.0950, Column 4).