Sentence examples for variable distribution is from inspiring English sources

This variable distribution is represented by M l, which corresponds to the number of RBs in l th CC.

The degree of bias increases when the latent variable distribution is more skewed.

This means that the variable distribution is wide, but also that, given the fact that negative values are impossible, its distribution is likely to be asymmetric.

Such a variable distribution is unlikely to be the result of geographical differences as previous population genetic work has shown that the overall nuclear genetic differentiation is rather low among chamois populations in the Eastern Alps [ 52].

When a strictly positive variable has a standard deviation close to or even larger than its mean, the variable distribution is wide, and, if negative values are impossible, its distribution is likely to be asymmetric.

When the dependent variable distribution is seriously non-normal this assumption may be violated and a transform of the original dependent variable to more nearly normal distribution is likely to be necessary [ 16].

Solution characteristics in terms of variable distribution are quite different for the two systems.

Variable distribution was controlled using the Kolmogorov Smirnov test.

Group comparison used analysis of variance (ANOVA) when variable distribution was normal.

Variable distribution was checked using the Kruskall-Wallis test for normality.

The normality of variable distribution was assessed by the Kolmogorov-Smirnov goodness-of-fit test.