Sentence examples for higher variance for from inspiring English sources

Our results are also in agreement with those of Grohien et al. [24], who showed a larger dispersion of values and a higher variance for hepatic SUVmax compared to hepatic SUVaverage.

However, in two cases the number of model compatible cells was below the 85% threshold (the V OC models for the (TiO_{2} left| {Co_{3} O_{4} } right|MoO_{3}) library with 84 and 80% of model compatible cells for the training and test sets, respectively), indicating higher variance for this property in this dataset in comparison with the other properties/datasets.

The higher variance for the DGC farther down the chain (e.g., upper left vs. lower right panel) is due to additive error from the way DGC is calculated.

Finally, one factor that may at first appear to be a possible confounder in the ER QTL analysis is behavioral differences between strains that could cause one strain to have a higher variance for some trait than another strain.

The binomial distribution, which assumes homogeneous vital rates among individuals within a stage class, has a higher variance for a given mean value than a model with heterogeneous vital rates [22].

Although with log-transformed data, there was no significant difference for seed number (F1,64 = 0.56, P = 0.46), cultivated fruits still showed significantly higher variance for fruit mass (F1,64 = 7.43, P = 0.008) and lower variance for phenolics (F1,16 = 7.43, P = 0.018).

Furthermore, we should note that dyslexics showed higher variances for all factors, especially on the phonology and rhyme/confusion factors.

Statistically higher variances for the base lesion concentrations were found with the DR liver DNA compared with those of the QMH samples, ranging from approximately 5-fold for the 8-OH-dG (p = 0.03) to 30-fold for the (5′S -cdG (p < 0.01) (Table 2).

The highest variance for men is observed for e c (34.2).

There is a tendency for Cu reduction, high variance for Sn and not casual presence of Pb.

Cochran's C test will not identify an outlying low variance, but may mistake a high variance for an outlier instead.