Sentence examples for explain the observed variance from inspiring English sources

All find it difficult to explain the observed variance in norm-induced behavior, and each offers an explanation of conformity that is at best partial.

While the empirical evidence on the localization effect of such policies in developing countries is mixed, there is a dearth of research systemically analyzing how differences between technologies affect patterns of localization, which could explain the observed variance.

Based upon the information derived from CoMFA and CoMSIA contour maps, we have identified some key features that explain the observed variance in the activity and have been used to design new pyrazolopyrimidine derivatives.

PCR and PLS methods involve the decomposition of the experimental data, such as spectrofluorimetric data in this case, into systematic variations (principal components or factors) that explain the observed variance in data.

At the scale of the mountain belt, drainage basin metrics such as relief, hypsometric index and slope values seem to explain the observed variance in the data population, conversely to the first-order average precipitation pattern, suggesting a strong tectonic control on the regional pattern of denudation rates.

To test this theoretical conclusion one could investigate to what extent host species differ in terms of their pathogen environments and if these differences could explain the observed variance in immune memory characteristics [ 42].

Based on previous literature, several study characteristics potentially explaining the observed variance were identified before the commencement of analysis.

Additionally, we eliminated size (r = 0.15) and the correlation of expression profiles within each phase-expression cluster (r < 0.01) as possible variables explaining the observed variance in AUC-ROC.

Based on the variables enumerated above, linear regression was performed with the goal of constructing a model that best explained the observed variance in registered litter size.

We do, however, continue to defend our main point it is unreasonable to conclude, based on the extensive Monte Carlo methods we employ, that the model sufficiently explains the observed variance in the field.

Our preferred model (Figure 9c,h,m) is defined by a compromise between model smoothness (which is chosen to be as small as possible) and the ability to explain the observed data (variance reduction).