(A) method for regression splines in least squares approach

Abstract

In this paper, we find a necessary and sufficient condition of $\beta=0$ in the model (2.1.1) and offer its proof. Also we suggest the procedure, say BEP, selecting the "best" regression equation, which is a modification of the backward elimination procedure in the variable selection, and shows the composite phenomena resulting from a polynomial regression model and the backward elimination procedure.