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We therefore modelled the responses by using only the terms MP and MP × MP.
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Response surface methodology was used for modelling the responses.
Response Surface Method has been established to optimize and model the responses mathematically.
This experiment aimed to model the responses of laying hens to lysine intake (Lys) using three mathematical models.
In the first, we modeled the responses to the first stimulus using AR as a predictor.
Hence, these cells may not adequately model the responses of every type of astrocyte in vivo.
In the second, we modeled the responses to the second stimulus using the AR of the first stimulus and responses given to the first stimulus (R1) as predictors.
Multiple regression analysis was applied to the experimental data to model the response variable, YEP.
Scheffè polynomials are used extensively to model the response of such mixture experiments [12, 13].
The work so far focuses on modeling the response of the material to fatigue damage only.
A finite difference approach to modelling the response time is described.
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