Sentence examples for different correlation methods from inspiring English sources

Figure 6 CDF for pairwise distance estimation errors for each pair of receiver nodes, with two different correlation methods and with and without MDS.

In order to assess the correlation between miss counts and execution times quantitatively, we have used two different correlation methods to obtain correlation coefficients [19]: the Pearson product-moment correlation coefficient and Spearman's rank correlation coefficient.

The average pairwise distance error is then 1.84 m. Figure 12 CDF for pairwise distance estimation errors for each pair of receiver nodes, with two different correlation methods and with and without MDS.

It extended the CLR method by integration of different correlation methods that are suitable for analyzing data sets ranging from moderate to large scale such as expression profiles with tens to hundreds of microarray hybridizations, and implemented all analysis algorithms using parallel computing techniques to infer gene-gene association at extraordinary speed.

In the first step of our analysis, we investigated this temporal property by studying the similarity σ of different correlation networks (defined in the Methods section) as a function of their relative positions in time.

Most metrics for the individual groups had significantly different correlation coefficients from the baseline method (P < 0.05, Hotelling Williams test) (supplementary fig. S1, Supplementary Material online).

This procedure is conceptually different from that performed in fluorescence correlation methods.

For each method, we provided three different correlation strategies, Pearson's correlation, Cross-correlation, and Spearman's correlation, based on three different hemoglobin concentration signals.

Statistical methods are available to allow different correlation patterns among study participants.

In addition, their method require more computation cycles to calculate eigenvalues for many different correlation matrices.

The noisy acquired images were stopped at three different time instants due to correlation method, EPCM, and the proposed entropy-change based, and the resulting three output diffused images were then compared quantitatively.