Sentence examples for while for models from inspiring English sources

For models without age, mean error averaged 0.530 and 0.384 m3 ha−1 yearespectivelyively, for non-parametric and parametric models while for models with age, mean error averaged 0.613 and 0.451 m3 ha−1 yearespectivelyively, for non-parametric and parametric models.

For models including stand age, the inclusion of LiDAR resulted in the most precise model (mean R 2 = 0.789; root mean square error (RMSE) = 2.48 m3 ha−1 year−1) while for models without stand age, metrics extracted from both satellite imagery and environmental layers produced the most precise model of the 300 Index (R 2 = 0.65; RMSE = 3.21 m3.21−1 year−1).

For years prior to the implementation of the Alliaria removal treatment (2003 06) the best-ranked model contains only a year effect (Table  1) while for models of post-treatment years (2007 13) and the entire dataset (2003 13) the best models contain an effect of Alliaria removal, indicating that dormancy rates were typically lower in this treatment.

For Model I, Burger's model parameters in normal and shear direction were calibrated by using laboratory test results from Frequency Sweep Test performed in both normal and shear direction, respectively; while for Model II, the same calibrated parameters in the normal direction were used, but the values for the shear direction were chosen to be equal with the normal direction.

Comparatively, the median was 0.63 with a 95% CI of 0.52 to 0.73 for clinical models, while those for models combining clinical and gene expression results gave a median of 0.65 with 95% CI of 0.54 to 0.74.

The complete state space can only be calculated and visualised for small models, while for larger models the calculation is limited to states reachable from a limited set of starting states.

As usual, Mr. Jacobs started promptly at 8 p.m., but it took a while for the first models to reach my area.

"It took a while for the Centrino model to work," says Dean McCarron of Mercury Research, a market-research firm.

Importantly, coffee and tea intake were mutually adjusted for one another while models for caffeinated and decaffeinated coffee were also mutually adjusted.

While adequate for modeling average characteristics in some applications, a single value material density may not be sufficient for reliable impact damage assessments.

To this end, we suggest a formal likelihood function that incorporates censored observations, while accounting for model structure deficits and uncertainty in input data.