Asymptotic Properties of Criteria for Selection of Variables in Multiple Regression
Author:
- Ryuei NishiiRNRyuei Nishii
Open Access
- 1 June 1984
- journal article
- Published by Institute of Mathematical Statistics in The Annals of Statistics
- Vol. 12 (2) , 758-765
Abstract
In normal linear regression analysis, many model selection rules proposed from various viewpoints are available. For the information criteria AIC, FPE, $C_p$, PSS and BIC, the asymptotic distribution of the selected model and the asymptotic quadratic risk based on each criterion are explicitly obtained.