Sentence examples for testing the goodness from inspiring English sources

Users look for familiar places they know on maps and use these as methods of orienting themselves, as well as for testing the goodness of maps.

For testing the goodness of fit, the Chi-squared was used.

A commonly used test for testing the goodness of fit of empirical data to specific theoretical distribution is the Chi-square test (Haan 1994).

Step II: Testing the goodness of fit The goodness-of-fit tests, namely, Kolmogorov Smirnov, Anderson Darling, and Chi-square test were used at 5% significance level for the selection of the best-fit distribution.

For testing the goodness of fitting of measurements x i ± σ xi i = 1 N that follow the General Gaussian distribution of shape p, x i  ~ GG(μ xi, σ xi, p), we need to construct the Chi-p distribution connected with L p fitting methods, where the minimization of χ p is given by Eq. (3).

The correlation measure for testing the goodness of the model was the coefficient of determination (R), which should be closer to 1.

Individual activation maps were recalculated by testing the goodness-of-fit of this convolution with the blood oxygen level-dependent time series that used the ratio of the sum of squares of deviations from the mean intensity value due to the model (fitted time series) divided by the sum of squares due to the residuals (original time series minus model time series).

This distribution is necessary to test the goodness of fitting of measurements that follow the Gaussian distribution.

Chi-square (χ 2 ) test is a useful statistical technique to test the goodness of fit, significance and independence of population variance.

Two different methods, fluorescent tracers and vertical sand traps, were simultaneously used to carry out an aeolian sediment transport study designed to test the goodness of fluorescent tracers in aeolian environments.

Furthermore, having a sample of observations exceeding some h = (k − 1/2) · Δm, and fitting the GPD to it, we need to test the goodness of fit of the GEV model to the empirical distribution.