Some variable selection procedures in multivariate linear regression models
type: Item
instance of: scholarly article
title: Some variable selection procedures in multivariate linear regression models
zbMATH Open document ID: 0798.62029
DOI: 10.1016/0378-3758(94)90164-3
author: Deng-Yuan Huang
author: Kuo-Chuan Liu
published in: Journal of Statistical Planning and Inference
publication date: 1994-11-10T00:00:00Z
Mathematics Subject Classification ID: 62F07
Mathematics Subject Classification ID: 62J05
zbMATH DE Number: 638274
zbMATH Keywords: reduced model
zbMATH Keywords: Mallow's \(Cp\) statistic
zbMATH Keywords: multivariate \(Cp\) statistic
zbMATH Keywords: two- stage variable selection procedure
zbMATH Keywords: multivariate linear regression models
zbMATH Keywords: guaranteed probability
zbMATH Keywords: summation of noncentralities
zbMATH Keywords: individual noncentrality
zbMATH Keywords: minimum Akaike information criterion
zbMATH Keywords: variable selection
zbMATH Keywords: efficiency
MaRDI profile type: Publication
full work available at URL: 0378-3758(94)90164-3
OpenAlex ID: W2016842739
cites work: Q4769776
cites work: Regressions by Leaps and Bounds
cites work: Selecting important independent variables in linear regression models
cites work: A Biometrics Invited Paper. The Analysis and Selection of Variables in Linear Regression
cites work: Q3965383
cites work: Some Comments on C P
cites work: Q3870155
cites work: The multivariate Cp
description: scientific article; zbMATH DE number 638274