Testing Treatment-Covariate Interaction in a Nonparametric Analysis of Covariance Model

DOI10.1080/03610920601076735zbMath1315.62041OpenAlexW1969279954MaRDI QIDQ3593537

Arne C. Bathke, Wonsun Chen

Publication date: 23 July 2007

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

Full work available at URL: https://doi.org/10.1080/03610920601076735

zbMATH Keywords

confidence regionordinal datadata depthnonparametric methodanalysis of covariance

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric tolerance and confidence regions (62G15) Nonparametric statistical resampling methods (62G09) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (1)

Testing factor–covariate interaction in rank repeated-measures analysis of covariance models

Cites Work

• Nonparametric methods in multivariate factorial designs
• Linear rank score statistics when ties are present
• Rank statistics under dependent observations and applications to factorial designs
• A unified approach to rank tests for mixed models
• Nonparametric ANCOVA with two and three covariates
• Some Covariance Models for Longitudinal Count Data with Overdispersion
• The Rank Transform Method in Some Two-Factor Designs
• Fully Nonparametric Hypotheses for Factorial Designs I: Multivariate Repeated Measures Designs
• Nonparametric Hypotheses and Rank Statistics for Unbalanced Factorial Designs
• Nonparametric models and methods for nonlinear analysis of covariance
• Testing monotone effects of covariates in nonparametric mixed models
• Nonparametric methods in factorial designs

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