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Therefore, the single-tissue model was preferred.
The reversible two-tissue model was preferred in 75.8% of all segments, based on the Akaike information criterion.
For this category of models, Krief et al. (1990) model was preferred because of its ability to fit in describing the data utilized herein much better than others.
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.
Accordingly, the generalized ordered logit model was preferred not to introduce bias by incorrectly assuming that all the variables met the proportional odds assumption.
Given the simultaneous effect between receipt of HMPS and HHC services, and the significant evidence of endogeneity in the previous model, the instrumented model was preferred in both cases.
Similar(5)
"Error first model" is preferred for the modeling and definition of geometric errors of rotary axis.
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.
For this reason, the reconstruction and measurement design algorithms that adopt the linear dynamic sparse model are preferred.
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