On Testing Linear Hypothesis in a Nested Error Regression Model

DOI10.1080/03610920802263157zbMath1318.62052OpenAlexW1982414597MaRDI QIDQ3585258

Nyambaa Erdembat, Tatsuya Kubokawa

Publication date: 19 August 2010

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

Full work available at URL: https://doi.org/10.1080/03610920802263157

zbMATH Keywords

linear mixed modelnested error regression modelintra-class correlationasymptotic correctiongeneralized least squares method\(F\)-test statistic

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Parametric hypothesis testing (62F03) Asymptotic properties of parametric tests (62F05)

Related Items (1)

On Testing Linear Hypothesis in a Nested Error Regression Model

Cites Work

• Estimation of the mean of a multivariate normal distribution
• On the power of \(F\) tests under regression models with nested error structure
• Approximations for Standard Errors of Estimators of Fixed and Random Effect in Mixed Linear Models
• On Testing Linear Hypothesis in a Nested Error Regression Model
• Generalized Least Squares F Test in Regression Analysis with Two-Stage Cluster Samples
• The Effect of Two-Stage Sampling on the F Statistic

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