Some Sequential Selection Procedures for Good Regression Models.
PURDUE UNIV LAFAYETTE IN DEPT OF STATISTICS
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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
- Statistics and Probability