Testing longitudinal data by logarithmic quantiles

DOI10.1214/14-EJS965zbMath1309.62080MaRDI QIDQ485945

Manfred Denker, Lucia Tabacu

Publication date: 14 January 2015

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

Full work available at URL: https://projecteuclid.org/euclid.ejs/1421071611

zbMATH Keywords

rank testsANOVAalmost sure weak convergencelogarithmic quantile estimationnonparametric factorial designsshoulder tip pain study

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Factorial statistical designs (62K15)

Related Items (2)

Tests for patterned alternatives using logarithmic quantile estimation ⋮ Change-point analysis using logarithmic quantile estimation

Cites Work

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• Linear rank score statistics when ties are present
• Rank statistics under dependent observations and applications to factorial designs
• Fully Nonparametric Hypotheses for Factorial Designs I: Multivariate Repeated Measures Designs
• Nonparametric tests for scale and location
• Generalized Estimating Equations for Ordinal Data: A Note on Working Correlation Structures
• Nonparametric Hypotheses and Rank Statistics for Unbalanced Factorial Designs
• Box-Type Approximations in Nonparametric Factorial Designs
• Nonparametric methods in factorial designs

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