Sentence examples for model test statistic from inspiring English sources

A parameter data file defines the type of analysis (single- or multi-locus; genetic model; test statistic), number of genetic markers, number of groups, sample size per group, statistical cut-off for significance, and other necessary parameters.

Overall, weather models outperformed climate models, with a mean improvement in the model test statistic AUC of 0.026 (Wilcoxon signed rank test p<0.00001).

R2 = proportion of variation explained by the model, F = regression model test statistic, P F = probability associated with F statistic, s.e.e

The model test statistic, the chi-square value, is calculated on the basis of the data is compared to the same test statistic, but then defined for the simulated data.

N = sample size, R2 = proportion of variation explained by the model, F = regression model test statistic, P F = probability value associated with F statistic, SE = standard error of the coefficient estimate, t = test statistic for coefficient, P t = probability associated with t-statistic.

They use an augmented model to maintain the randomisation balance between groups which corresponds to the Cox model based test statistic in the semi-parametric approach of Robins & Tsiatis.

In this case it is important to remember that due to adaptive noise model the test statistic is, in general, different for non-weighted and weighted LS methods as we will see later.

For a fixed-effect multi-factor ANOVA model, the test statistic has an F distribution under the null hypothesis [ 52].

In the model, each test statistic is nested within an article, while each article is nested within a journal.

For hierarchically nested models, the test statistic of an LRT approximates the χ distribution with degrees of freedom equal to the number of additional free parameters in the alternative model compared to the null model.

In a conservative approach to this investigation, a randomization model-based test statistic, using the actual level of the natural log of blood lead and diastolic blood pressure, remained statistically significant at the 5% level, even when averaging the association across 478 subgroups formed by the cross-classification of age, body mass index, and the 64 sampling sites.