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So the mixed model is superior to each sub-model.
A key part in a mixed model is the interface coupling conditions.
The model for the performed analysis on the spectrum occupancy percentage using a linear mixed model is as follows: (10).
This mixed model is able to obtain the forecasting results of weekly prices of agricultural commodities in different markets.
The mixed model is composed of discrete model and continuous model, which is also named two-step model.
The result shows that the mixed model is more accurate in forecasting agricultural commodity prices than each single model does, and has better accuracy in warning values.
This mixed model is modified by Lavin and Hanemann [38] to enable the incorporation of the taste indicators of the consumers into the random parameters model.
Among the available approaches to repeated-measure analyses, the mixed model is recommended for its flexibility in handling different covariance structures and its insensitivity to missing data.
The mixed model is especially adapted to the follow-up of the National Forestry Programmes, which are supposed to be carried out through an iterative and participatory scheme.
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Therefore, a simple back-mixed model is appropriate for predicting temperature and concentration in the gas phase of industrial fluidized-bed polyethylene reactors.
A simplified well-mixed model is developed to describe reactor operation in the limiting case where there is no difference between bubble and emulsion gas temperatures and concentrations.
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