Accession Number:

ADA101921

Title:

Some Sequential Selection Procedures for Good Regression Models.

Descriptive Note:

Mimeograph series,

Corporate Author:

PURDUE UNIV LAFAYETTE IN DEPT OF STATISTICS

Personal Author(s):

Report Date:

1981-06-01

Pagination or Media Count:

15.0

Abstract:

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

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE