Sentence examples for mean models is from inspiring English sources

Equivalence between the time varying and mean models is shown through averaging theory.

The mean RMS of the difference between the candidate and the simple arithmetic mean models is between 4.2 nT/yr for model B and 11.8 nT/yr for model G at the Earth's reference radius r=a.

Similar correlations between the differences of IGRF-2015 and SV-2015-2020 candidate models to the arithmetic mean models are found for candidate models C, E, and I.

In the MLLR-based model adaptation, we adopted the unsupervised adaptation method where the acoustic mean models were incrementally adapted with each test utterance.

Maps of differences in the vertical field intensity at Earth's surface between the candidates and weighted mean models are presented.

This large difference implies that the simple arithmetic mean model is probably biased towards model C for the dipole terms.

Interestingly, the residual map for the SV candidate model A when compared to the mean model is similar in shape to the residual map that was observed between the IGRF-2015 candidate model A and the mean model (Fig. 7).

The mean model is suitable for analyzing datasets with more uncertain prior knowledge, which calculates the average gene expression level.

Thus, a sire-dam variance model implies that genetic heterogeneity of residual variance in the mean model is completely explained by sire and dam effects.

Given the mean model is slightly better in terms of fit and numbers of inconsistencies this is the one recommended for use.

Conversely, none of the candidate models that compared well to the arithmetic mean model are allocated full weight for all three components.