Sentence examples for statistic distribution from inspiring English sources
To examine whether there is an excess of tested SNPs in the lower tail of the transformed rank statistic distribution, which is the empirical distribution of the transformed rank statistics for genome-wide SNPs, we calculated an ER, which is the ratio of the percentage of tested SNPs in the lower tail to the corresponding percentage of intergenic SNPs.
Asymptotic, permutation and bootstrap approximations for the statistic distribution are developed.
The observed results suggest that the proposed bootstrap provides a good statistic distribution approximation for medium sample size.
The statistic distribution of damage variable is employed to describe the overall damage intensity when the peak stress value is reached.
Two versions of Shape Statistic Distribution features are proposed which are derived from Informed Haar-like feature, but more discriminative than the original one.
To approximate the statistic distribution, two different resampling plans are considered; the usual one based on permutations and a new bootstrap procedure which does not require the exchangeability assumption.
As a matter of fact, fracture mechanics based approaches allow building probabilistic criterions by introducing the statistic distributions of defects sizes, positions and orientations.
It is a purely data-driven approach without making any assumptions about the relationships between attributes and class memberships, and the specific statistic distributions of attribute data.
On COBWEB, part of this quality assurance is done by automatic filters on the data collected, based on known statistic distributions.
Due to the aforementioned properties of the statistic distributions of the features, some classifiers are unable to obtain a good performance, i.e., Gaussian, PCA, etc.
Before detailed analysis on our measurement, we would like to discuss the properties and applicability of log-logistic, log-normal, Weibull, and Nakagami statistic distributions, which are designated as "curve-fit" models in Section 4, since they are more likely to provide good fit to our collections of pragmatic clutter data.
