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The temperature variation of each model parameter has been investigated.
Additionally, the variation of the model parameter has an effect on the optimal controls.
The computation of the model parameter has been carried out by minimizing the sum of the squared errors in higher-order statistics such as skewness and kurtosis.
Also, this model parameter has a very limited effect on the iCER.
The MLE of a model parameter has particular significance since its relative position to the value 1 influences the interpretation concerning enhanced or suppressive influence of a context on substitution rate.
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The choice of the class of candidate mixed models and the estimates of the model parameter have direct implications for the stability measure.
But the uncertainties of the TSR such as the change of model parameter have an important effect on the approaching mission.
A model based on dimensional analysis of the model parameters has been established for verification.
Specification of material properties and model parameters has a strong influence on the results.
A detailed description for the model parameters has been given for the model application.
The use of the logarithmed model parameters has the benefit of making the aforementioned derivatives dimensionally the same, which is a good strategy for balancing the Jacobian terms.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com