The first 3 components describe >99% of the environmental variability in sub-Saharan Africa on the basis of the 7 selected variables (principle component [PC]1 = 97.47%, PC2 = 1.35% and PC3 = 0.84%).
Our continuous monitors could better capture diurnal variability in principle, but given a smaller number of monitoring sites and anticipated spatial heterogeneity, conclusions depended on where the monitors were located.
If the overall sampling fraction is negligible, the model variability can in principle be ignored and bootstrap techniques that track only the sampling design variability can be used.
Camacho et al. [ 27] point out that different sources of variability can, in principle, lead to the observed correlations.
Table 2 Unique issues for large versus small molecules Applicability of Arrhenius equation for large molecules Perceived need to start with first principles Variability for biologics may make it more difficult to precisely model Fundamental model selection for biologics Lack of trust of non-linear models Temperature and/or Humidity is too high thus modeling is not predictive.
Samples were subjected to biological relationship verification by using the principle of variability in allele sharing according to the degree of relationship.
In principle, low variability, or reproducibility, of the SPR can be achieved by having multiple steps in rhodopsin desensitization; averaging across kinetic steps reduces variability in rhodopsin's cumulative activity, and hence, in the SPR (Rieke and Baylor, 1998).
The first principal component mainly reflected changes at 36 or more hrs post induction (hpi), which accounted for over 79% of the total variability, whereas the second principle component mainly reflected earlier changes.
Given that most mutations are deleterious to cell survival or replication, especially high variability must by first principles reduce the probability, precision, and sustainability of adaptive evolution in the context of complex fits to the environment.
In one-way analysis of variance, the same principle is used, with variances rather than standard deviations being used to measure variability.
