A new alternative to the standard \(F\) test for clustered data

DOI10.1016/J.JSPI.2009.03.019zbMath1167.62055OpenAlexW1974552972MaRDI QIDQ2272094

Yan Li, Partha Lahiri

Publication date: 5 August 2009

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

Full work available at URL: https://doi.org/10.1016/j.jspi.2009.03.019

zbMATH Keywords

clustered dataFuller-Battese transformationintra-cluster correlationgeneralized least squares teststandard \(F\) test

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Linear regression; mixed models (62J05) Parametric hypothesis testing (62F03) Hypothesis testing in multivariate analysis (62H15) Measures of association (correlation, canonical correlation, etc.) (62H20) Monte Carlo methods (65C05)

Related Items (2)

Unnamed Item ⋮ A simple adaptation of variable selection software for regression models to select variables in nested error regression models

Cites Work

• Univariate repeated measures techniques applied to multivariate data
• REML estimation: Asymptotic behavior and related topics
• Transformations for Estimation of Linear Models with Nested-Error Structure
• Generalized Least Squares F Test in Regression Analysis with Two-Stage Cluster Samples
• The Effect of Two-Stage Sampling on the F Statistic
• The Effect of Two-Stage Sampling on Ordinary Least Squares Methods
• Hypothesis Testing With Complex Survey Data: The Use of Classical Quadratic Test Statistics With Particular Reference to Regression Problems
• Response Variance and Its Estimation
• COMPARISON BETWEEN TREATMENTS IN A REPEATED‐MEASUREMENT DESIGN: ANOVA AND MULTIVARIATE METHODS
• Conditions Under Which Mean Square Ratios in Repeated Measurements Designs Have Exact F-Distributions

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