Sentence examples for sum of the variability from inspiring English sources

16 D is the percentage of the variability between trials and constitutes the sum of the variability between trials.

Previous large-domain studies estimated the variances of their biomass density estimates as the sum of the GLAS sampling variability plus the model variability associated with the models that predict airborne lidar estimates of biomass density (Y) as a function of satellite lidar measurements (X).

The variance ratio (i.e., the ratio of the sum of the within-household variability over time and the within-sample analytical variability to the sum of the regional variability and the intraregional between-household variability) ranged from 0.9 to 3.0.

D2 is the percentage that the between-trial variability constitutes of the sum of the between-trial variability and a sampling error estimate considering the required information size.

To estimate a variance of the intervention effect estimates between trials (D = the percentage that the between-trial variability constitutes of the sum of the between-trial variability and a sampling error estimate considering the required information size) [ 25, 26, 52 ].

However, this RPD is well within the default RPD limit of 50% for field duplicates that the U.S. EPA uses, a cutoff metric reflecting the sum of analytical variability and the variability in the sample collection process.

The ICC is a measure of reproducibility, calculated by dividing the between-subject variability by the sum of the between- and within-subject variability.

ICCs provide a measure of the reliability of repeated measures over time and are calculated by taking the ratio of the between-subject variability to the sum of the between- and within-subject variability (Rosner 2000).

ICCs, which are calculated by dividing the between-subject variability by the sum of the between- and within-subject variability, provide a measure of the reliability of repeated measures over time (Rosner 2000).

The percentage of leaf out explained by each variable is represented by a heat-map created using the function heatmap in R. Plots of the comparative ratios between phylogeny and climate contributions correspond to explained variability of phylogeny divided by the sum of leaf out variability explained by all climatic variables.

Mathematically this is the between-cluster variability divided by the sum of the within-cluster and between-cluster variabilities.