Sentence examples for accounting for deviations from inspiring English sources
Such curves were approximated well by the newly proposed power law function containing two empirical parameters, a and b, the first of which is the particle settling velocity and the second one is a flocculation factor accounting for deviations from discrete particle settling.
Comparisons of the two arms accounting for deviations from the assigned arm (analyses by "performed treatment") will also be added to this main analysis.
The momentum transport model in the porous layer utilized in this research is based on the Brinkman Forchheimer-extended Darcy equation, which allows the accounting for deviation from linearity and also allows a smooth matching of the filtration velocity at the porous/fluid interface.
Nevertheless, we decided to be consistent in treating the data categorically and accounted for deviations from normal distributions.
As the membrane geometry prevents measurement of a meaningful RTD, a residence time distribution model is introduced, which accounts for deviations from ideal plug flow behavior induced by a non-ideal pore size distribution and by axial molecular diffusion.
However, this does not account for deviations from the normal trend line or the normal compaction trend due to disparities in rock properties, for instance, in areas of abnormal compaction, porosity and fluid movement.
This model is complemented by a sparse Lagrangian particle method that provides instantaneous and local solutions of the species composition and can account for deviations from the flamelet-structure due to turbulence.
At the log level the most accurate predictions of ρg were obtained using a mixed-effects model that included fixed effects to account for mean longitudinal variation in ρg and random effects to account for deviations in this longitudinal variation between trees.
This program accounts for deviations from Hardy-Weinberg and linkage disequilibrium by population structure and assigns individuals to K clusters.
Basically, this analysis uses false memory rates, hit rates and false alarm rates as the primary dependent variables, which were corrected prior to analysis as recommended by Snodgrass and Corwin [25] to account for deviations from the normal distribution due to positive skewness.
