The interaction effect of the variables exhibited a mixed behaviour towards the wear of the materials.
Several combinations were developed to investigate the effect of the variables on streamflow forecasting.
We built habitat-suitability models to examine the relative effect of the variables on the regional occurrence of Sheldgeese.
The model created at management-unit level (block level) did not detect any significant effect of the variables on the percentage of canopy openness.
An Fractional Factorial design, together with a star design are used to simultaneously study the effect of the variables and of their interactions.
The effect of the variables on the cycle performance and on the constraints are analyzed and explained to obtain increased understanding of the actual behavior of the system.
Second order polynomial models were developed using response surface methodology (RS M to understand the effect of the variables on density, sectional expansion index (SEI), water absorption index (WAI) and crispness of extrudates.
The optimal removal conditions were determined by response surface methodology based on the four-variable central composite design to obtain maximum removal efficiency and determine the significance and interaction effect of the variables on the removal of target triazo dye.
An experimental design was applied to evaluate the effect of the variables of the transesterification reaction: temperature, mass ratio of the catalyst, and the molar ratio of oil to methanol.
Symbolic regression was applied to the entire data set to produce a number of analytical expressions describing the interactive effect of the variables without prior knowledge of an underlying physical process.
The effect of the variables of polydimethylsiloxane (PDMS) soft segment (SS) length, hard segment (HS) type and content as well as choice of chain extender (its MW and symmetry) on the morphology of segmented polyurethane and polyurea copolymers was investigated.
