Sentence examples for model median from inspiring English sources
According to the double exponential model, median leaf litter decay coefficients of the recalcitrant and the labile litter fraction were 0.006 d−1 (−0.017 to 0.016) and 0.15 d−1 (0.06–0.86), respectively.
For example, when comparing with scenario A1 (FA1 in the figure), by setting PORC = 1,240 kW, Nw = 2, and z = 3,800 m, the result of our simplified model (median of the boxplot) is 50 gCO2eq/kWh.
Internal validation by bootstrap resampling showed a high level of accurate prediction of the model (median AUROC, 0.911; 95% CI, 0.868-0.949).
The normalized root mean squared error between the spiking model response and the measured ITD-ILD response was near the normalized root mean squared error in the SVD model (median nRMSE 0.12, interquartile range 0.09 0.16; n = 14).
Using this implementation of the TrackIt model, median uncertainty in the calculated position points for longitude was 1.1 1.3° and for latitude was 1.1 1.7°, where the higher uncertainty bound can be attributed to the poor light data collected during dives to deeper depths.
The quantity W95 is the deviation of the empirical value of W from the model median normalized by the width of the upper or lower half of the central interval of the model distribution of W at the 95% significance level.
Those groups contained 1211 gene models (median sequence length = 150 amino acids), which were annotated with Gene Ontology and Pfam terms using Blast2Go.
Variance inflation factors were <2.5 for all predictors in all final models (median VIF = 1.03), which is generally considered very low multicollinearity (Fox and Monette 1992; O'Brien 2007).
All statistics associated with parameter estimates obtained for two-population models (median parameter estimates, median uncertainties, RMSE, and percent coverage of 95% CI) are given in Additional file 1: Table S2.
All statistics associated with parameter estimates obtained for single-population models (median parameter estimates, median uncertainties, RMSE, and proportionate coverage of 95% CI) are given in Additional file 1: Table S1.
If, at the end of a given study, less than 50% of the patients at risk were alive, then the exact value of the dependent variable being modeled (median OS) is known.
