Sentence examples for model coefficient tests from inspiring English sources

The two logistic models were statistically significant (model coefficient tests P < 0.05) and showed a good model fitness (Hosmer and Lameshow tests, P > 0.90).

Each model was constructed based on the goodness of fit test and model coefficients tests.

This includes the test for significance of the regression model, test for significance on model coefficients and test for lack-of-fit model adequacy.

Dynamic implementation of the model relies on determining model coefficients through test-filtering the Lagrangian particle representation of the filtered vorticity field.

This does not affect the F-test of the model, just the individual coefficient tests.

The features are based on ARX model coefficients, Kolmogorov Smirnov (KS) test statistical distance, and the model residual error.

Thus, the Hosmer Lemeshow goodness-of-fit and Omnibus tests of model coefficients with enter procedure were used to test for the model fitness.

Pearson's coefficient tests were performed to assess statistical significance.

B = Regression model coefficient.

Finally, omnibus tests for model coefficients and Hosmer-Lemeshow (H-L) goodness of fit tests for model evaluation were also done in Tanzania from 2011 to 2012.

Table 5 evaluates using the H-L goodness of fit tests and the omnibus tests of the model coefficients; for the former, poor fit is indicated by a significance of less than 0.05, whereas for the latter, poor fit is indicated by a significance of greater than 0.05.