Sentence examples for models precision was from inspiring English sources

From these models, precision was estimated by error variance for both methods.

The simulations reflected the variation trend of observations well but the model precision was poor.

Model precision was determined using the coefficient of determination (R2) and the root mean square error (RMSE).

Model precision was determined through examination of the root mean square error (RMSE) and coefficient of determination (R 2).

Experimental results indicate that by linear regression and parameter mapping, the estimation model precision was very high.

Model precision was assessed for parametric and non-parametric models from the validation dataset using the squared Pearson correlation coefficient (R 2) and root mean square error (RMSE).

In mixed conifer forest in Washington state, USA, model precision was more affected by sample plot size than pulse density [39].

and Scots pine (Pinus sylvestris L .. [35], whose objective was quantifying the effects of LiDAR pulse density and sample size on forest attributes prediction from LiDAR-derived metrics, found that model precision was more affected by sample plot sizes than by pulse density in mixed conifer forest in Washington state, USA.

Model precision was evaluated by comparing mean parameter values and 95% bootstrap confidence intervals (CI) of the replicates with NONMEM outputs.

The model precision was estimated by cross-validation (Morgenstern et al. 2007).

The model precision was 0.18 Å as estimated by a Luzzati plot (see, for example, ref (47)).