Robust testing for random effects in unbalanced heteroscedastic one-way models

DOI10.1080/10485250802018477zbMath1142.62028OpenAlexW2166166307MaRDI QIDQ3521112

Pranab Kumar Sen, Inkyung Jung

Publication date: 27 August 2008

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

Full work available at URL: https://doi.org/10.1080/10485250802018477

zbMATH Keywords

heterogeneityrank-based testnon-normal errornon-normal random effect

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Nonparametric robustness (62G35) Parametric hypothesis testing (62F03)

Related Items (1)

Bootstrap inference for skew-normal unbalanced heteroscedastic one-way classification random effects model

Cites Work

• An Extended ANOVA F-Test with Applications to the Heterogeneity Problem in Meta-Analysis
• Robust R-Estimation of a Consensus Value from Multi-Center Studies
• Between group variance component interval estimation for the unbalanced heteroscedastic one-way random effects model
• Confidence intervals for the between group variance in the unbalanced one-way random effects model of anaylsis of variance
• A note on testing the nullity of the between group variance in the one-way random effects model under variance heterogeneity
• Maximum Likelihood Analysis for Heteroscedastic One‐Way Random Effects ANOVA in Interlaboratory Studies
• Estimates of Location Based on Rank Tests
• On the Estimation of Relative Potency in Dilution (-Direct) Assays by Distribution-Free Methods
• ON THE COMPARISON OF SEVERAL MEAN VALUES: AN ALTERNATIVE APPROACH

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