Sentence examples for mixture models indicated from inspiring English sources

Statistical mixture models indicated that synergic binary interactions, especially those involving ethanol with acetone or chloroform, are important in the Mikania extraction process.

The evaluation of hyperspectral and multispectral mixture models indicated that nonlinear mixture model-derived areal fractions were sensitive to the model input data, while the linear mixture model performed more stably.

The lowest correlation and thus the highest re-ranking was observed between Model 2 and the other mixture models, indicating that the health status was judged differently when assumed to affect both growth and sexual maturation.

Results of a latent profile mixture model indicated that athletes who experienced pressure from all four of the measured sources were significantly more likely to intend to continue playing in the future than were athletes who had not experienced pressure from all sources, or only pressure from coaches and teammates.

The mixture model indicated that a majority of women (77%) had a steeper slope of 0.118 L/h per week of GA, whereas 23% of pregnant women displayed a significantly flatter slope of 0.0115 L/h per week for each week of gestation.

Comparisons between best linear unbiased prediction (BLUP) and Bayesian mixture models also indicated that the Bayesian model produced the most accurate predictions in every scenario for the milk protein trait, and in some scenarios for fertility.

However a considerable part of mixture data 20-400%) is not describable by such models, indicating a significant interaction among chemicals, leading to synergistic or antagonistic outcomes [ 2].

Based on this estimation, to obtain the concentration of an oil-water mixture, a prediction model indicating the relationship between the viscosity and emulsion composition is established.

Furthermore, the mixture model (Model 2) had a consistently higher predictive ability than the conventional non-mixture model (Model 1), indicating that mixture models are more appropriate to analyse this type of data.

However, this caution is only necessary for interpreting relative model fits and does not affect subsequent results and interpretation, as both mixture models have similar shapes, and may therefore indicate similar processes, as we will show.

These results indicate that the Gaussian mixture models for the WGS data were adequately trained and that the tranche cutoffs were functioning as expected.