Sentence examples for measurements of model from inspiring English sources
Right satisfactory removal of soiling without damaging the leather surface using a fluence of 1.02 J cm−2 and 5 scans) Table 3 Colorimetric measurements of model leather samples in different conditions Sample L a b Reference leather 78.22 8.12 17.65 Aged leather 51.92 25.91 27.87 Soiled leather 32.73 10.42 10.19 Laser cleaned 49.16 23.11 23.11.
There are no absolute measurements of model fit that can be used for comparison; therefore, different model quality indices based on deviance, such as the Akaike Information Criteria (AIC), the corrected Akaike Information Criteria (cAIC), and the Bayesian Information Criterion (BIC) were reported.
Over-representation of some sequence families (e.g. calcium dependent protein kinases) relative to others in the sequence sets used for algorithm testing could potentially lead to biased measurements of model performance.
The quantitative predictions of our model depend on accurate experimental measurements of model parameters for the different stages of the viral life cycle and in the different virus-producing cell types, which will also require experimental characterization of the drug-susceptible state.
Furthermore the results of static and dynamic methods of measurement of model parameters were compared.
Prequential Evaluation is available as well, which enables measurement of model accuracy, either from the start or based on a sliding window of recent instances.
In particular, a precise measurement of model characteristics can be beneficial from a business perspective, helping to save costs thanks to early error detection.
Peak value of 152 pT for the measurement of model half-cylinder sample and that of 6.6 pT for the theoretical curve suggest that the total magnetic moment for the measurement is estimated to be 3.0 × 10−8 A m2.
However, the measurement of Model B was coarse due to categorization.
Akaike's information criterion (AIC) was used to determine a primary measurement of model fit; a lower value of AIC indicated a better model fit.
These variables also estimate the relationship between factors and factors structure, and allow the measurement of models with more flexibility.
