Asymptotic Properties of Criteria for Selection of Variables in Multiple Regression
Nishii, Ryuei
Ann. Statist., Tome 12 (1984) no. 1, p. 758-765 / Harvested from Project Euclid
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.
Publié le : 1984-06-14
Classification:  AIC,  BIC,  $C_p$,  FPE,  PSS,  regression analysis,  selection of variables,  62J05,  62F12
@article{1176346522,
     author = {Nishii, Ryuei},
     title = {Asymptotic Properties of Criteria for Selection of Variables in Multiple Regression},
     journal = {Ann. Statist.},
     volume = {12},
     number = {1},
     year = {1984},
     pages = { 758-765},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1176346522}
}
Nishii, Ryuei. Asymptotic Properties of Criteria for Selection of Variables in Multiple Regression. Ann. Statist., Tome 12 (1984) no. 1, pp.  758-765. http://gdmltest.u-ga.fr/item/1176346522/