The Best Sub-Set in Multiple Regression Analysis

The Best Sub-Set in Multiple Regression Analysis

In this article, Mr Garside gives a procedure for comparing all sub-sets in multiple regression analysis and thereby obtaining the best sub-set of a given size in the sense of the minimum residual sum of squares. The author also points out that this is a special case of a more general problem.

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Veröffentlicht in:Applied Statistics 1965-01, Vol.14 (2/3), p.196-200
1. Verfasser: Garside, M. J.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Computer analysis
Computer programming
Correlation coefficients
Linear regression
Mathematical vectors
Multiple regression
Regression analysis
Regression coefficients
Significance level
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Beschreibung
Zusammenfassung:In this article, Mr Garside gives a procedure for comparing all sub-sets in multiple regression analysis and thereby obtaining the best sub-set of a given size in the sense of the minimum residual sum of squares. The author also points out that this is a special case of a more general problem.
ISSN:0035-9254
1467-9876
DOI:10.2307/2985341