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Firstly, as Greene (2005) argued, handling of the effect of the models in Pitt and Lee (1981) and Schmidt and Sickles (1984) neglect the possibility of other non-efficiency related time-variant heterogeneity which could affect the estimations of efficiency yielding biased results.
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Various simulations were performed to evaluate the effect of the model assumptions.
A parametric study is presented to characterise the effect of the model inputs on the analysis speed and accuracy.
Designs are developed for a 26 factorial design in the model parameters to study the effect of the model parameters on the experimental design.
The effect of the model constants in the dissipation equation for the turbulence model and the effect of radiation on flame predictions are also discussed.
The effect of the model parameters was finally analysed by simulating rape evolution in six contrasted cropping systems and 100 000 randomly chosen parameter values.
Means were adjusted, to equilibrate the effect of the model.
To test the effect of the model, we also made inferences with the CAT+Γ4 model.
The technique calculates an equivalent ES, but the effect of the model cannot be visually observed in the scan.
To analyze the effect of the model peptide sequence on the isotope exchange kinetics, we synthesized a series of seven peptides, each containing a His residue.
The effect of the mobility models will be considered for further research.
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CEO of Professional Science Editing for Scientists @ prosciediting.com