Sentence examples for difference in the empirical from inspiring English sources
In both cases, it is the structural constraints of the testing procedure itself, not a difference in underlying latent variables, that results in a difference in the empirical ROC curves.
There was no significant difference in the empirical accuracy of the estimated breeding values between pedigree and genomic methods for EMD for close relationships (Table 2).
ASA, American Society of Anesthesiologists ASDD, Absolute standardized difference; D, D-statistic is the maximum difference in the empirical quantile-quantile plot, and it is sensitive to imbalance across the empirical distribution; nm, Number of matched observations; nos, Number of observations in the original sample; RACHS, Risk Adjustment for Congenital Heart Surgery.
Differences in the empirical distributions of antibody titers between farms tested positive for IDV and farms with positive sera from the routine screening through were identified with the Wilcoxon rank sum test.
The statistical significance of the SSR type factor was a consequence of the large differences in the empirical abundance rates, which strongly suggest that the genesis rates of different SSR types were not uniform.
Values for c are drawn from a normal distribution, which is parameterized with the regional median probit difference calculated in the empirical analysis described above, and a standard deviation (SD) calculated from the regional posterior distributions for c as estimated in Eq. (3).
As stated before, initial values affect the developmental outcome, and we want to test whether differences in initial values show the same differences in outcome in the empirical and in the simulated trajectories.
There was no statistical difference in the appropriateness between empirical (57%) and nonempirical (44%) antibiotic use.
But by examining several characteristics in a variety of contexts I may be able to shed a bit of light on how perceptions of differences in characteristics (in the empirical examples here, in beauty and in height) affect outcomes that have previously been examined without attention to the nature of the apparent discrimination.
The K-S test has an asymptotic power of 1, meaning any differences at all in the empirical and theoretical distributions will lead to a low P-value for large datasets, even if the practical differences between the two distributions are negligible.
