Sentence examples for deviation of differences from inspiring English sources

Sampling error analysis for both field measurements and Monte-Carlo simulated datasets representing different sampling schemes revealed the standard deviation of differences from the true mean as high as 0.45‰ (δ18O) and 1.29‰ (d-excess).

At both reach locations, the Jason-2 radar altimeter non-winter heights consistently tracked the stage recorded at USGS streamgages with a standard deviation of differences (error) during the non-winter periods of less than 7%.

During the study period, the bias in CO values between bolus thermodilution and whole-body impedance cardiography ranged from 0.07 to 1.05 L/min and the precision (standard deviation of differences) ranged from 0.82 to 1.31 L/min.

For paired t test t_{text{calculated}} = left( {D_{text{avg}} - 0} right)/left( {sigma_{text{diff}} /surd n} right), (7)Where n = number of matched pairs, D avg = Mean of differences, σ diff = Standard deviation of differences.

The results show that the standard deviation of differences between the models and the measurements are 57.81 mGal for EIGEN-6C4 and 47.98 mGal for EGM2008 in this study.

For tests of baselines of about 51 km, the comparison between short- and longbaseline solutions revealed that mean differences of a few millimetres and 2 cm are obtained for the horizontal coordinates and vertical component, respectively, and the standard deviation of differences on the scale of a few centimetres.

Across all unit records the mean and standard deviation of difference between unsupervised and supervised assessment items was calculated.

where Bias is the difference between mean value of MS and fused images, SDD is the standard deviation of difference between MS and fused images.

[10] This is computed as the mean difference between baseline and follow-up PRO scores divided by the standard deviation of difference scores, reflecting individual changes in scores.

The standard deviation of difference scores (difference of 4) is 13.

Briefly, the permutation test used in this analysis examines the statistical significance of the observed differences in means between two groups in comparison to the average and standard deviation of difference of 10,000 random permutations of the data.