Sentence examples for model output measures from inspiring English sources

The need for replicates for accurate assessment of the model output measures and the run time per replicate are major scalability issues for pandemic simulation models.

Cattail vegetation maps (Figure 2) are used for the initial conditions as well as for comparing model output with measured data.

The performance of these BLM software versions for waters outside of the intended calibration range was examined by comparing model output to measured acute Cu toxicity for P. subcapitata, D. magna and D. pulex (species only tested in two lakes).

The workflow is applicable to all 'black-box' models, including high-throughput in vitro models in which output measures are affected by a set of experimental perturbations.

Therefore, by reconciling model outputs with measured data, we can achieve more accurate and reliable results.

This reconciliation of model outputs with measured data is known as calibration.

In contrast to conventional nonlinear fitting or minimisation algorithms that only estimate parameter values, this method provides an overview of the parameter space and identifies regions in the parameter space where model outputs match measured data.

Source data for Figure 4. DOI: http://dx.doi.org/10.7554/eLife.00288.022 10.7554/eLiFigure88.023 Figure 4 figure supplement 1. Continuous sampling of spatial model output reveals more accurate measures of episode characteristics.

In addition, model output was compared with measured strained and attached bacteria via column extrusion experiments (in which sand was extruded from the column and placed in excess water) and flow reversal experiments (in which the pore water flow direction was reversed, thereby dislodging strained bacteria).

To further analyze the effect of different regions within input variable on the variance and mean of the model output, two new regional importance measures (RIMs) are proposed, which are the "contribution to variance of conditional mean (CVCM)" and the "contribution to mean of conditional mean (CMCM)".

Overall the efficiency scores were relatively similar across the primary care models and for the two output measures.