Sentence examples for unbalanced size from inspiring English sources

This model allows to take into account the unbalanced size of the groups.

Due to IO contention and the unbalanced size of GenBank divisions, the speed increase does not evolve linearly with the number of meta-processes.

Provided equality of variances could not be assured and unbalanced size of groups being compared, non-parametric Mann-Witney U test was used to evaluate the differences between microgravity and 1g on ground samples.

To study the pharmacological parameters as a function of the genotype, we analysed the variances of drug GIC50s values or MDM2 expression for each genotype and calculated the significance of the differences in mean values, using a general linear model taking into account the unbalanced size of the groups.

Also, characterization of a gene's bimodality via excess kurtosis as in [ 22] disregards bimodal distributions with unbalanced sizes of peaks, while a t-statistic still captures such unbalanced bimodality.

In order to minimize the bias from unbalanced sizes of the binary classes, we randomly selected the same amount of data from the larger class according to the size of smaller class in each run of the cross-validation.

An alternative τ-group composition, with a more balanced distributions of τ values (first group containing genes with τ∈[0, 0.2); second group with τ∈[0.2, 0.6); and third group with τ∈[0.6, 1]) leads to unbalanced sizes of three groups.

An inherent problem of using GO annotations to define gene sets, is the strongly unbalanced sizes of the resulting groups (some GO terms apply to thousands of genes, while other, more specific functions, are represented by fewer than 10 genes).

ANOVA was implemented to all parameters, except for those data with unbalanced sample size and missing data using the GLM statistical analyses.

These conditions, for example, include small and unbalanced sample size between groups (Woods 2009), short tests (Paek and Wilson 2011), various levels of DIF contamination (Finch 2005), multilevel data (French and Finch 2010), violation of the normality assumption of latent traits (Woods 2011), and violation of the unidimensionality assumption (Lee et al. 2009).

The unbalanced sample size (1∶2∶2∶2) was by this time established and could not be revised retrospectively although the statistical rationale for it was not present with the revised design.