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Empirically, a similar regression procedure can be used.
The rate constant values for each step were determined by a non-linear regression procedure.
The and coefficients were obtained through a least squares regression procedure.
The positions of any additional bands were deduced through the regression procedure.
Our online learning algorithm can be looked upon as an interactive regression procedure.
In prediction phase, viewpoint will be naturally selected in the regression procedure.
The data were fit to a hyperbola surface model by use of a nonlinear regression procedure.
The nonlinear regression procedure was used to fit three different drying models.
The mathematical model, the regression procedure and the results are here presented and discussed.
The corresponding model equations were derived from the stepwise regression procedure.
This reaction was analyzed in alkaline and acid media by a non-linear regression procedure together with mechanistic considerations.
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