Unless otherwise stated, correlations of snoRNAs and miRNAs, with clinical and pathological variables, were assessed using the appropriate non-parametric methods (Spearman's test for continuous variables, Wilcoxon, Kruskal Wallis or Mann Whitney's U-test for categorical variables).
Unless otherwise stated, all correlation circles resulted in the same conclusions as those showing PC1 and PC2 alone.
Therefore, it has to be stated that correlation is a direct measure of association rather than of agreement between the packages.
Both satellites are combined by a state correlation parameter which can be taken from empirical models.
An empirical fundamental equation of state correlation is presented for ethylene oxide.
To determine if structural vibration testing could distinguish between different structural states, correlation coefficients were calculated between FRFs from each structural state and a baseline condition.
The C/N0 allows a comprehensive analysis of the state correlation (line of sight, shadowed/blocked) for multiple satellites for a wide range of elevation and azimuth angle combinations.
It is related to the state correlation between the satellites (cf. Figure14), whereas a low correlation coefficient results in a low 'bad bad'-state probability and provides therefore a high signal availability.
In terms of valence bond state correlation diagram, we find that H abstraction by a metal oxo may benefit from the contribution of ionic resonance structures, which could compensate the penalty of opening the MO π bond.
Table 1 Measured and re-simulated state probabilities and state correlation coefficients using different dual-satellite state models for an exemplary scenario: urban, elevation1 = 45°, elevation2 = 25°, azimuth separation = 45° (g… 'good'-state, b… 'bad'-state, gb … 'good bad'-state, etc).
