Sentence examples for model assumptions hold from inspiring English sources

If the model assumptions hold, the differences are then solely determined by the development of competency.

While this is a result similar to the one we present, their analysis is limited to very sparse systems where the ICT model assumptions hold.

Where model assumptions hold, the difference in mortality risk depending on episode is quantified by a sum of group risks.

First, we consider simulations that assume that the model assumptions hold, using as true values the estimated parameter values from the Native American data set (experiment 1).

In general, these methods ignore some subset of the data and are thus less powerful than the EM method when the model assumptions hold.

Nevertheless, these experiments allow us to quantify the size of the improvement in the accuracy of the EM estimates over those of JR when the model assumptions hold.

All the model assumptions held: there was no evidence of multi-collinearity (no variables were highly correlated >0.8), the link test was correctly specified (hatsq z = 0.90; p = 0.37), and Hosmer and Lemeshow's goodness of fit test failed to achieve significance (Chi-square (8) = 6.10; p = 0.64).

All the model assumptions held: there was no evidence of multi-collinearity (no variables were highly correlated >0.8), the link test was correctly specified (hatsq z = 0.87; p = 0.39) and Hosmer and Lemeshow's goodness of fit test failed to achieve significance (Chi-square (10) = 3.24; p = 0.92).> -wrap-foot> CI: 95% confidence interval.

It is semiparametrically efficient when the model assumption holds, and at the same time it enjoys desirable robust properties when it does not.

In the end, we assess whether the decision model's assumptions hold for the case at hand and challenge the decision model's usefulness as well as applicability by discussing it against accepted evaluation criteria from the DSR literature (Sect. 5.5).

We briefly touch on the results of our naturalistic ex-ante evaluation (EVAL2) when discussing which of the decision model's assumptions hold in the real-world case.