Sentence examples for incorrect models from inspiring English sources

Fig. 14 Difference of DIC between correct and incorrect models.

Incorrect background model updating tends to introduce incorrect models because of motion ambiguities.

The performances of these methods under correct and incorrect models specifications are evaluated in a simulation study.

While even science manages to make correct predictions with wildly incorrect models, at least the lucky speculator can spend his ill-gotten gains.

Since incorrect models lead to incorrect predictions, it is vital to have as accurate a model as possible.

To place this in context, incorrect models give scores of<−3.0; lower quality models<−2.0; and the average quality of 200 highly refined X-ray structures −0.5 (+or −0.4).

We decided to use these variables that implicitly take into account the 3D structure of the antibody, rather than the modeled structure itself to avoid biases arising from incorrect modeling of some parts of the molecule, especially the H3 loop.

Their incorrect model also used in [9].

Despite the incorrect model assumptions, the ratio estimator was approximately design-unbiased, and the confidence intervals were valid.

It was shown that increasing the sampling time above a given threshold resulted in identifying an incorrect model.

In Fig. 14 we compare the deviance information criterion (DIC) between the correct and the incorrect model.