Sentence examples for model prediction varies from inspiring English sources

Confidence in model prediction varies for different transporters.

The relative differences between the non-AOD and the AOD model predictions, calculated as 2 × (AOD model prediction − non-AOD model prediction)/(AOD model prediction + non-AOD model prediction), vary substantially by region and land use type.

Agreement between measured concentrations and GRI-Mech 3.0/Premix model predictions varies with flame stoichiometry: measured and predicted maximum CH concentrations and position agree well for a near-stoichiometric flame, but predicted values are approximately 20% too large for rich flames and too small for the lean flame.

The model prediction accuracy may vary at different development stages.

The model prediction error for VO2 varied across individuals and, for the average free-living walking speed, was (mean ± SD) 4.99 ± 3.28 ml · kg−1 · min−1.

Thus, in contrast to NTUS, the overestimation with the IRI-2001 topside model prediction at equatorial CUSV station varies from 22 to 27 TECU as observation year changes from 2009 to 2013 which is maximum during the solar minimum year 2009 (Figure 7). Figure 6 Seasonal variation of hourly mean GPS-TEC and IRI-2012 model TEC at Patumwan Thailand.

Our findings are consistent with the nine previous published reports of 10 study populations (table 6), 35 37 38 40 41 42 43 44 even though the number and range of genotypes and the phenotype based risk models used for prediction varied across studies (see Forrest plots at www.ucl.ac.uk/genetic-epidemiology/WebMaterial).

Figure 11b presents the growth curve of biofilm that varied with time by model prediction for biofilm on activated carbon from non-steady-state to steady-state condition.

The model prediction in the temperature range of 50 75 °C and pressure of 17 MPa varies from 3.9 × 10−9 to 6.1 × 10−9 m2/s.

However, emerging evidence shows that gene expression-based prediction varies between independent data sets and little is known about the accuracy of gene expression-based prediction model with distinguished pathologic and clinical predictors [ 7, 8].

Figure 1 Model prediction.