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In the mixed-effects models, we considered the gilz mRNA expression logarithm in order to improve data normality.
For the specification of the system of models we considered socio-economic, level-of-service and dummy variables.
This common ordered structure in all channel models we considered implies that our achievability schemes and converse proofs use some common techniques.
In the ensemble models, we considered GP and GMDH as constituent models and chose GP, GMDH, BPNN and Average as arbitrators.
In the regression models we considered three linguistic classifications.
In our example, we estimated only one parameter of the perceptual models we considered.
Similar(7)
Figure 1 shows the ES (left) and EM (right) models we consider.
The models we consider are outlined in Figure 1.
In both models we consider the effects of antivirals and/or vaccination that are available during that period.
The models we consider are kinetic descriptions of microtubule assembly and disassembly.
However, the models we consider are roughly hierarchical, moving to ever more general conceptualizations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com