Sentence examples for ordering variables from inspiring English sources

Ordering variables according to size introduces a specific distribution.

We propose two approaches for ordering variables according to their relative importance with respect to model stability and generalizability.

Names of the following operations, encoded as numbers, were the observed variables, while the succession of particular activities (work sequence) formed the ordering variable.

In particular, the numerical and ordered variables were investigated with Spearman correlation coefficient ; a pair was considered collinear if the statistically significant correlation (p≤0.050) was >|0.6|.

Eight different sample sizes were used, 50,100,150,200,300,600,900 and 1200; three different levels of 2, 4 and 6 for the ordered variables were simulated.

Correlations of continuous or ordered variables were calculated using Spearman Correlation.

For a categorical variable with more than two categories, we distinguish between nominal and ordered variables.

The item pair scalability, Hij, in essence the correlation between two ordered variables.

Chi-squared trend tests were used in the case of ordered variables such as prompt size.

Nominal variables have a chi-square p-value and ordered variables have a nonparametric Kruskal-Wallis test p-value.

Reported trend-test P values correspond to analyses where the categories of cigarette smoking were treated as ordered variables.