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For this reason, the reconstruction and measurement design algorithms that adopt the linear dynamic sparse model are preferred.
WTP estimates derived from Models II and III are presented in Appendix B. Estimates derived from the WTP-Space model are preferred as this approach provides more behaviourally plausible estimates with considerably lower standard deviations.
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"Error first model" is preferred for the modeling and definition of geometric errors of rotary axis.
Therefore, the single-tissue model was preferred.
Due to its simplicity, the 2N model is preferred in terms of implementation [15, 16].
Zero-Inflated Negative Binomial (ZINB) Model is preferred to develop crash prediction model with significant variables.
However, for controller synthesis and practical considerations, a low-order model is preferred.
The reversible two-tissue model was preferred in 75.8% of all segments, based on the Akaike information criterion.
Therefore, the MLP model is preferred as a highly precise model in predicting ηith compared to the MLR model.
A quadratic polynomial model is preferred for transesterification efficiency prediction with coefficient of determination (R2) of 0.9815.
Since no statistical difference in model fittings between the one- and two-compartment model was observed, the simplest model, meaning the one-tissue compartment model, was preferred.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com