The treatments were performed in triplicate, and differences among samples were evaluated using statistical analyses.
Adsorption behavior of six flavonols derived from onion processing residues was evaluated using statistical design of experiments.
The goodness of fit of each MLR model was evaluated using statistical parameters: coefficient of determination, root mean square error and mean relative deviation modulus.
Impact of the local climate on building heating and cooling energy load was evaluated using statistical techniques thus establishing a direct relationship between bioclimatic potential and annual energy load.
ELM's performance was evaluated using statistical metrics: correlation coefficient (r), Willmott's Index (WI), Nash-Sutcliffe efficiency coefficient (ENS), root mean square error (RMSE), and mean absolute error (MAE) between observed and forecasted UVI.
The significance of each factor and their interactive effects were evaluated using statistical design of experiments quarter fractional factorial designs 2III5 − 2 and dissolved nickel was taken as the measured response.
The performance of the GAA and GP models in predicting mean wall and bed shear stress were evaluated using statistical comparisons of the predicted and observed outputs.
The permeability test was carried out on five samples for each series, and the mean permeability values and their standard deviations were evaluated using statistical analysis (standard deviations were always lower than 5%).
Models were evaluated using statistical mean force potential [ 53].
