Some Sequential Selection Procedures for Good Regression Models

摘要

In the past decade a number of fixed sampling methods have been developed for selecting the 'best' or at least a 'good' subset of variable in regression analysis. We are interested in deriving a sequential selection procedure to select a subset of a random size including all good regression equations. Tables for an example are given at the end of this paper. (Author)