IMPROVING THE PERFORMANCE OF SEMIPARAMETRIC MODEL ROBUST REGRESSION 2 VIA THE INCLUSION OF THESTATISTICALLY SIGNIFICANT
INTERACTION TERMS IN THE MODEL MATRIX
*EDIONWE, E.1 AND OSEMWENKHA, S. O.
ABSTRACT
Response Surface Methodology (RSM) comes handy when a researcher wants to determine the value of each of the explanatory variables that simultaneously optimize the response variables. In the modelling phase of RSM, a suitable regression model is fitted the data generated from the experimental design phase. The fitted model is subsequently subjected to an appropriate optimization routine in order to obtain the optimal solution of the study. Currently….