2.5. Statistical analysis
The drying experimental data (MR vs. time) was fitted to 6 different models using GraphPAD Prism 6 computer program.
The regression coefficient (R2) (Eq. , Root mean square error (RMSE) (Eq. , v2 values (Eq. (, AIC (Akaike information criterion) (Eq. and BIC (Bayesian information criterion)(Eq. values were used as the primary criteria for selecting the best model to fit the drying curves. AIC and BIC values are considered as a robust statistical tools to measures the quality of goodness of fit considering sample size and number parameters in a model, thereby compensating for the model complexity