The effect of nonnormality on near‐replicate lack‐of‐fit tests

DOI10.2307/3316105zbMath0942.62076OpenAlexW2099570407MaRDI QIDQ4944638

Ronald Christensen, Edward J. Bedrick

Publication date: 27 August 2000

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3316105

zbMATH Keywords

replicationanalysis of variancepure errorbetween clusterswithin clusters

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Linear regression; mixed models (62J05) Analysis of variance and covariance (ANOVA) (62J10) Diagnostics, and linear inference and regression (62J20)

Uses Software

• alr3

Cites Work

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• Lack-of-fit tests based on near or exact replicates
• ANOVA and rank tests when the number of treatments is large
• Testing for lack of fit in regression - a review
• A comparison of some lack of fit tests based on near replicates
• A Comparison of Variance Component Estimates for Arbitrary Underlying Distributions
• Testing lack of fit in regression without replication
• Robust Bounded-Influence Tests in General Parametric Models
• Testing the Independence Assumption in Linear Models

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