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Multilevel statistical models were used to generate absolute growth curves.
Weights based on statistical models were used to combine the basic indicators into a composite one.
Statistical models were used to assess the factors that were most associated with woody vegetation intentions.
In the case of MAGT, we used an ensemble approach, in which medians of the predictions from these four statistical models were used to reduce uncertainties associated in the choice of a single method66,67.
Tailored statistical models were used to elucidate the relative importance of different factors influencing raveling the novel additive, traffic intensity, asphalt age, and initial raveling.
Two statistical models were used to determine the interactions, and several synergistic relationships were identified in natural proportional and equivalent blending ratios, but no antagonistic effects were observed.
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Statistical models are used to estimate natural variability, pre-existing trends, and environmental predictors of baseline indicator conditions.
Two statistical models are used to describe the distribution of maximal pressures in sloshing impacts: a three-parameter Weibull model and a generalized Pareto model.
Statistical models are used to couple groups of percepts with similar actions and incremental learning used to incorporate new experiences into the system.
A number of advanced statistical models are used to show significant flexibility in the load, peaking at 27% for the best performing groups.
Models of Neural Systems: Mechanistic and statistical models are used to understand and explain observed data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com