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For FBP reconstructed data, the 2T4kVTnsfix model provided best fits in 19 out of 22 scans (86%) according to the AIC with a mean value of -98 ± 13.
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Analysis of the R 2 values suggests that the Langmuir isotherm model provides best fit to the equilibrium biosorption data at all studied temperatures implying monolayer coverage of CV molecules onto the biosorbent surface.
On comparing the pseudo-first order and the pseudo-second order adsorption rate constants at different initial metal concentrations, it is seen that the second-order model provides best correlation of the data.
The 1T2k60 and 2T4k models provided best fits in 1 (5%) and 2 (9%) out of 22 scans with mean AIC values of -81 ± 13 and -96 ± 14, respectively.
Langmuir isotherm, pseudo second order kinetic and ion exchange models provided best fit to the experimental data of sorption of metal ions.
These models provide best fit to experimentally measured impedances and/or transient responses and employ one or more constant phase element (CPEs) [3]; also known as the fractional-order capacitor [4].
The final model was that for which the Akaike value was minimized, that is, the model that provided best fit to the data whilst maintaining parsimony.
Among the five models, the MPois-Pois model provided the best fit having the lowest AIC with the MZINB model fitting the second best (Table 9).
The pseudo-second-order kinetic model provided the best correlation for the experimental data studied.
Among all the candidates, the sill-like tensile crack model provided the best fit (Table 2).
Among the evaluated models, the LSTAR LST APGARCH MLP model provided the best performance overall.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com