Your English writing platform
Discover LudwigSuggestions(2)
Exact(2)
The Redlich Peterson and Freundlich model gave better fitting as compared to Langmuir model for individual adsorption.
Based on the coefficient of determination (R2) calculated from the design data, ANN model displayed much more accurate in data fitting as compared to RSM model.
Similar(58)
This is particularly evident in Figs. 8 and 9 which show rankings by NMSE and Chi-squared metrics, where the Birnbaum Sanders distribution was particularly ill fitted as compared to Figs. 11 and 12 in which it is comparable when evaluated using the (R^2), and AIC and BIC criteria, respectively.
The CFI, GFI, and NNFI measure how much better the model fits as compared to a baseline model in which the observed items are assumed to be uncorrelated.
The Akaike Information Criterion estimates (AIC) were of similar value, see Table 1, hence this estimate did not clearly point out any of the models as better or worse fitted as compared to the others.
From Table 2, it can be seen clearly that Langmuir model is better fitted as compare to Freundlich model.
Among the kinetic models, the pseudo – second – order model was superior to others and among the adsorption isotherms, Langmuir model fits well as compared to that of Freundlich model based on the regression coefficient values.
The filter adequately adjusts parameter values, thus significantly improving the model fit as compared to simulations with no-varying parameters.
Second-degree equation with the number of lanes is chosen, since it provides a better fit as compared to linear equation.
In all cases the Redlich Peterson isotherm exhibited the highest coefficient of determinations same as Freundlich isotherm, which provided a considerably better fit as compared to Langmuir but similar to the Freundlich isotherm.
Using this framework, the researchers were able to uncover five of the seven TPACK constructs which were a better model fit as compared with several extant studies of TPACK surveys.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com