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As we added three adjustable parameters (wfold for the secondary structure model, and B and wdis for the dissociation model) to the normal NN model, the estimated prediction errors of these models reduced to 6.7 × 10−2 and 6.1 × 10−2, from that of the original model (7.0 × 10−2).
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The evolutionary models reduce to the single sequence Markov model equivalents and are used to measure the impact of sequence conservation on prediction performance.
Hierarchical models reduce to non-hierarchical analysis when the variation at higher level is not significant; this was the case in our study.
In particular, when (n=1), the special model reduced to the classical logistic equation.
The process is illustrated for a model reduced to three normal modes of the air column.
The other compartmental models were obtained by reduction of the described SIR-model (the fit to the SIRS model reduced to a SIS model).
Figure 5(b) displays the structure of the model reduced to the observed mRNA components.
Manual backward elimination was used to develop models of ERVH, with the final model reduced to only include variables significant at the 0.05 level.
As a result, the model reduces to LSTAR-APGARCH-RBF LSTAR-APGARCH-RBF LSTAR-APGARCH-RBF
For (n=1), the Carreau model reduces to the Newtonian one.
If λ=1, this model reduces to the CG distribution above.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com