In case two variables were associated (P <0.05), the variable explaining the largest variability (smaller p value at univariate analysis) was retained.
Normal distribution functions, which approximate the actual distribution of the worst-case variability, are used to estimate the largest variability expected for the process variables at a user-defined probability limit.
We eventually included explanatory variables which explained the largest variability of AH admissions.
Substructure and Superstructure similarities have the largest variability for the examined molecules.
Among these, augen gneisses and banded gneisses show the largest variability.
The basal friction coefficients were relatively small in the first stage and gradually increasing; large in the second stage, accompanied by the largest variability; and oscillating and gradually decreasing to a stable value, in the third stage.
The first component of the PCA, which captures the largest variability of the sub-components is considered for capturing the resilience of surveyed households, which is composed of adaptive, absorptive, and transformative capacities (Frankenberger et al., 2014; Béné et al., 2016; Smith et al., 2015).
The variance between countries with respect to the attitudinal traits would appear to vary somewhat across scales, with the largest variability occurring for the Future A (FUTA) scale, and the lowest for the Environment (ENV) scale; moreover the variances within country are also noticeably different across scales, with the same scales occupying the extremes.
Indeed, the two targets displaying the largest variability in the range of 0.50 0.75 Tanimoto similarity are rat A3 (AA3RATand and human A2b (AA2BR HUMAN), for which quite different performances are observed (RMSEPext in the 0.70 0.75 range and in the 0.59 0.61 range respectively: Figure 5).
Soil temperature was found to explain the largest variability in soil NH3 emissions (Log10 NH3-N Flux=0.054Tsoil+0.66; R2=0.71), suggesting that an approach similar in design to the biogenic emissions inventory system land use and temperature model for NO emissions, might be effective for modeling biogenic NH3 emissions.
Thus, the first eigenvector (linear combination) identifies the direction of largest variability, the second the one of next largest variability, subject to the constraint of being orthogonal to the first, etc (see Figure 1).
