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Using a priori non-gravitational force models improves the recovery of low temporal resolution accelerations, except during huge geomagnetic storms.
The results show that estimating the VaR from multivariate GARCH models improves the results of the forecasted optimal portfolio allocation, compared to using a univariate model.
Mr Varian and Ms Choi show that the addition of these search trends to econometric models improves the accuracy of their estimates.For example, using data on searches for trucks and SUVs to predict the monthly sales of motor vehicles reduces the average error by up to 18% compared with the predictions from a model that did not incorporate the search data.
Including inactive data for models improves the recall and precision AUC and BEDROC performance.
The introduction of non-parametric models improves the profitability of the strategies in terms of the Sharpe ratio, especially in the 1-year-ahead predictions.
Comparing several models and/or the existence of equivalent models improves the fit of the structural model to empirical data or to the theory that underlies it.
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As Table 3 shows, the PLSA and the bigram-PLSA models improve the word error rate.
Therefore, the results show how the recommendations applied to the models improve the behaviour of the plant.
The incorporation of these intervention variables to the two models improved the consistency and the efficiency of the estimates.
The recommendations applied to the models improve the behaviour of the plant providing higher energy production with a lower cost.
The company added that reduced spend on marketing and promotion, coupled with "a shift to high value-added models," improved the operating revenue figure significantly.
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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