According to Efron, "the jackknife uses only limited information about the statistic and thus one might guess that the jackknife is less efficient than the bootstrap" [10].
This is similar to the way that the kappa statistic is limited by low base-rates when calculating agreement.
However, the relevance of this statistic is limited when considering the efficiency of individual (within-family) selection.
However, following recommendations by St. John (1991) [ 45] the use of the delta-p statistic was limited only to those covariates found to be significant in the model, because there is no known procedure to estimate the statistical significance of delta-p (Cabrera [ 46]).
For the first scenario, the statistic showed limited power (around 20%) for the Pygmy phenotype in the considered populations, suggesting that if the SNPs responsible for the phenotype did not stand out from the background genomic allele frequencies, we would have little chances to capture most of the real phenotypic variants.
Whereas [ 13] limited application of this statistic to targets of transcription factors, Figure 3 displays estimates of activation and repression of pathways and Additional file 2: Figure S 2 the statistics for component transcription factors (listed in Additional file 1: Table S 1) estimated with eq. 3 for the HaCaT data.
Since the gene set enrichment analysis is not limited by the type of statistic used, we should use a statistic that will be best at elucidating the changes between the groups that we are studying.
Although, we found that a lager sample size with a fixed denominator F-statistic had limited impact on the precision of the RV estimate, it is noteworthy that for a given data set (assuming constant group means and standard deviations), increasing the sample size would produce greater power by naturally increasing the denominator F-statistic.
Obviously, the clutter suppression performance of TDS-STAP is largely limited by the number and statistic characteristics of the training samples.
Available fit statistic is generally limited to one or more of the following: standard errors of estimated parameters, the coefficient of determination, the standard deviation of lack-of-fit residuals, and sample size [44].
