ADMISSIBILITY OF SOME VARIABLE SELECTION RULES IN LINEAR REGRESSION MODEL

Abstract

The problem of selecting variables in normal linear regression model is considered as a multiple decision problem. A loss function is introduced which is zero if the true model is selected and one, otherwise. Then some variable selection rules proposed by several authors are shown to be admissible.