The median was chosen as the summary measure of expression across the eight arrays (for each oligonucleotide) because the median has been shown to have better performance than mean-based statistics, such as the t-statistic or the SAM statistic, in identifying spiked-in RNAs using small sample sizes [ 22].
This poses a challenge in rethinking how we rank and rate colleges today, which has traditionally been based on an alchemistic mix of hard-to-measure elements such as reputation and campus-based statistics, such as acceptance rates, library and endowment sizes, etc.
The resampling-based approach compared values of population-based statistics such as heterozygosity and population divergence in a number of adjacent SNPs, to the distribution of values obtained by the resampling of the same number of SNPs from random locations along each chromosome.
COMPARE's inference procedure results in a complete matrix, allowing average-based statistics such as C, R and M to be used (Fig. 4).
Other approaches use non-parametric approaches: rank-based statistics such as Wilcoxon rank-sum (Breslin et al., 2004) or Kolmogorov Smirnov like (Backes et al., 2007; Ben-Shaul et al., 2005; Mootha et al., 2003; Subramanian et al., 2005).
Thus, microsatellite selection produced a highly variable and often very weak effect on the values of SFS-based statistics such as D. However, when D was driven negative by microsatellite selection, the decreases were often substantial, expansive, and long ranged.
Bettman's findings indicated that a model with independent variables from both approaches provided better performance based on statistics such as the Akaike information criterion (AIC) and likelihood ratio tests.
However, most of these mobility profiles are obtained based on historical statistics, such as the city mobility model.
Data-driven techniques based on multivariate statistics (such as principal component analysis (PCA) and partial least squares (PLS)) have been applied widely to chemical processes and their effectiveness for fault detection is well recognized.
We did not find any explanation for incorrect gene essentiality predictions based on simple statistics such as rudimentary network size metrics.
