Robust R-Estimation of a Consensus Value from Multi-Center Studies

DOI10.1080/03610920600761881zbMath1105.62038OpenAlexW2136929130MaRDI QIDQ3424231

Pranab Kumar Sen, Inkyung Jung

Publication date: 15 February 2007

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

Full work available at URL: https://doi.org/10.1080/03610920600761881

zbMATH Keywords

tablesheteroscedasticityone-way random effects model\(R\)-estimatorWilcoxon signed-rank statistic

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35) Nonparametric estimation (62G05) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (1)

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

Cites Work

• Restricted maximum likelihood estimation of a common mean and the Mandel-Paule algorithm
• Rank-based regression with repeated measurements data
• Rank-Based Analysis of the Heteroscedastic Linear Model
• Estimation of a Common Mean and Weighted Means Statistics
• Estimators for the One-Way Random Effects Model with Unequal Error Variances
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• An affine‐invariant multivariate sign test for cluster correlated data
• On a Further Robustness Property of the Test and Estimator Based on Wilcoxon's Signed Rank Statistic
• Estimates of Location Based on Rank Tests
• On the Estimation of Relative Potency in Dilution (-Direct) Assays by Distribution-Free Methods

This page was built for publication: Robust R-Estimation of a Consensus Value from Multi-Center Studies