TY - JOUR
AU - Garside, M. J.
AB - 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.
TI - The Best Sub‐Set in Multiple Regression Analysis
JF - Journal of the Royal Statistical Society Series C (Applied Statistics)
DO - 10.2307/2985341
DA - 1965-11-01
UR - https://www.deepdyve.com/lp/oxford-university-press/the-best-sub-set-in-multiple-regression-analysis-5G4gcZu1mv
SP - 196
EP - 200
VL - 14
IS - 2-3
DP - DeepDyve
ER -