Sentence examples for test approximation from inspiring English sources

Exact(1)

The Satterthwaite method is intended as an accurate F test approximation and solves the DDF by matching the moments of observed Wald F statistics and an exact F distribution.

Similar(59)

For the nonparametric test approximations to the rank-sum multiple comparisons were obtained.

We will therefore in the following test the approximation by numerically integrating the full Schrödinger equation in real space.

Differences in magnitude of ELISpot responses between each EP dose group and the IM group were analyzed using the non-parametric Wilcoxon 2-sample test (t approximation), with significance set at p<0.017 to allow for three tests per antigen.

To test this approximation we compared the mean-field predictions obtained by solving the Master equation to those obtained by the numerical integration of the deterministic version of the model for the duration of interest (i.e., up to 2009).

*Wilcoxon rank sum two sample test (normal approximation, including continuity correction).

We used Fisher's exact test (Monte Carlo approximation, 10 samples) to test for differences in survivors and control characteristics (Table 1).

Significant differences were also found between non-malignant pathological thyroid samples (goiters and adenomas) and malignant tumors (p < 0.001, Wilcoxon test, t approximation), anaplastic carcinomas (ATCs) and all other samples and also between ATCs and all other malignant tumors (p < 0.05, Wilcoxon test, t approximation).

The Wilcoxon two sample test (T approximation) was used to test the null hypothesis of no significant difference between the two groups in the age at first healthcare claim during the study period (2006-2010) for specific medical conditions.

The binomial test (normal approximation) was applied to examine the statistical significance of the observed TE copy number in the expected TE copy number probability distribution (P value < 0.05).

The constant in the critical value of the UNIREP test statistic approximation introduced by Muller et al. [ 5] is equal to 1, (8) λ ∗ 2 λ ∗ 1 ab ν ∗ 1 ν ∗ 2 b ν e = 1.

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