We found that when supporting services were excluded, the effect of the forest attributes on the correlations between services became significant.
The changes in the land use, agricultural runoffs and partially treated industrial effluents from the industrial zone in the study area could be attributed to the correlation of parameters and the present result being in consistent with earlier studies (Sahu et al. 2011).
This implies that the mitochondrial body size effect, e.g., [ 14] can be attributed solely to the correlation of mammalian body mass and lifespan [ 13, 39- 41].
Besides, modelling correlation as a stochastic process, not only the variation of the short-term correlation can be reflected, also the attributes of long-term correlation is determined by the long-term parameter values, like long-term mean value and mean reversion speed.
We infer that such an improvement by DECO in the association analysis is partially attributed to the distortion of the correlation structure by the DEGs: typically, a portion of genes in a gene set alter their expressions, and the gaps in the expression of these genes may be relatively amplified by the de-correlation process.
In these approaches, we find results ranging from 0.63 to 0.86, which are measurements of the correlation between scores attributed by LSA models and those attributed by human evaluators [10, 13, 14].
The inverse nature of the correlation was attributed to assumptions in the transient drawdown packages that were inconsistent with the variable diffusivities encountered at the scale of the measurements.
Indeed, in the protein-protein interaction network, Agrafioti et al. found that most of the correlation can be attributed to similarities of the neighbours in expression level [10], with additional contributions from correlated functions and involvement in biological processes as inferred from GO annotations.
PCA works by calculating eigenvalues of the correlation matrix of the attributes.
Therefore, the results that follow should be interpreted under a hypothetical scenario attributing all of the observable correlation to the competition between multiple probe sets for the above-postulated common transcript.
Wang et al. (2003) and Xie et al. (2008) proposed τ as a function of P d for northward IMF and attributed the correlation to the size of the magnetosphere.
