On eliminating inferior regression models

DOI10.1080/03610928208828268zbMath0511.62077OpenAlexW2024159882MaRDI QIDQ4749030

Deng-Yuan Huang, Subrahmanian Panchapakesan

Publication date: 1982

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928208828268

zbMATH Keywords

decision rulemultiple correlationeliminating inferior regression modelsguaranteed probability of correct decision

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Monte Carlo methods (65C05) Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items

Selecting important independent variables in linear regression models ⋮ Deng–Yuan Huang: Life and Works ⋮ Subset Selection Procedures: Review and Assessment

Cites Work

• A subset selection procedure for regression variables
• A Biometrics Invited Paper. The Analysis and Selection of Variables in Linear Regression
• Selection of Variables in Multiple Regression: Part I. A Review and Evaluation
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