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Marquardt s percent standard deviation

The results of the fit of these models are given in Table A.2. The fit of experimental data to the pseudo-first-order and the pseudo-second-order equations seemed to be quite good when correlation coefficients (R ) obtained from non-linear regression analyses were examined. However, it was very difficult to decide which model represented the experimental data better, just on the basis of R. A better criterion to find the best model for the experimental data would be Marquardt s percent standard deviation (MPSD) parameter. It is known that the lower the MPSD value, the better the fit. When the MPSD values... [Pg.93]


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