Analysis of Linear Models with Two Factors Having Both Fixed and Random Levels

DOI10.1080/03610920802538368zbMath1170.62054OpenAlexW4245302008MaRDI QIDQ3396343

Peter Njuho, George A. Milliken

Publication date: 18 September 2009

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

Full work available at URL: https://doi.org/10.1080/03610920802538368

zbMATH Keywords

estimationhypothesis testvariance componentscombined modelscomputer chip experimentson-farm trials

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Parametric hypothesis testing (62F03) Point estimation (62F10) Linear inference, regression (62J99) Sequential statistical methods (62L99)

Related Items

Chisquared and related inducing pivot variables: an application to orthogonal mixed models, Inference in nonorthogonal mixed models

Uses Software

• SAS
• SAS/STAT

Cites Work

• That BLUP is a good thing: The estimation of random effects. With comments and a rejoinder by the author
• Best Linear Unbiased Estimation and Prediction under a Selection Model
• Confidence Intervals and Sets for Linear Combinations of Fixed and Random Effects
• Mixed Models
• Maximum likelihood estimation of variance components of heteroscedastic random anova model
• Analysis of Linear Models with One Factor Having Both Fixed and Random Levels
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