Selecting important independent variables in linear regression models

DOI10.1016/0378-3758(88)90119-XzbMath0661.62018OpenAlexW1989731713MaRDI QIDQ1113231

Deng-Yuan Huang, Shanti S. Gupta

Publication date: 1988

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(88)90119-x

zbMATH Keywords

reduced modelgoodness of fitselection procedurenoncentral Fselection criterianoncentrality parametersinferior modelstotal square error

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Statistical ranking and selection procedures (62F07)

Related Items (4)

Some variable selection procedures in multivariate linear regression models ⋮ Deng–Yuan Huang: Life and Works ⋮ Selection procedures in linear models ⋮ Multiple Decision Procedures for Inference in Regression Models

Cites Work

• Developments in Linear Regression Methodology: 1959-1982
• The Use of Noncentral F Approximations for Calculation of Power and Sample Size
• A Biometrics Invited Paper. The Analysis and Selection of Variables in Linear Regression
• On eliminating inferior regression models
• Some Comments on C P
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