Theoretical evaluation of prediction error in linear regression with a bivariate response variable containing missing data

DOI10.1080/03610926.2016.1222434zbMath1462.62416OpenAlexW2525122468MaRDI QIDQ4598587

Trygve Almøy, Lars Erik Gangsei, Solve Saebo

Publication date: 15 December 2017

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

Full work available at URL: https://hdl.handle.net/11250/2716898

zbMATH Keywords

prediction errorJames-Stein estimatormissing datarisk functionbivariate linear regression

Mathematics Subject Classification ID

Linear regression; mixed models (62J05)

Related Items (1)

Linear regression with bivariate response variable containing missing data. Strategies to increase prediction precision

Uses Software

• R
• simrel

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