A nonparametric test for paired data

DOI10.1016/j.jmva.2023.105229OpenAlexW4385478716MaRDI QIDQ6074744

Grzegorz Wyłupek

Publication date: 19 September 2023

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2023.105229

zbMATH Keywords

copulabootstrapempirical processmatched pairsdependencetwo-sample problem

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Hypothesis testing in multivariate analysis (62H15) Multivariate analysis (62Hxx)

Cites Work

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• Cramér-von Mises and characteristic function tests for the two and \(k\)-sample problems with dependent data
• Data driven smooth test for paired populations
• An introduction to copulas.
• Bootstrapping and permuting paired \(t\)-test type statistics
• Rank-score tests in factorial designs with repeated measures
• Jackknife, bootstrap and other resampling methods in regression analysis
• Weak convergence and empirical processes. With applications to statistics
• An exact density-based empirical likelihood ratio test for paired data
• Nonparametric \(k\)-sample test based on kernel density estimator for paired design
• Statistical Analysis of Financial Data in S-Plus
• A Nonparametric Test for Independence Based on Sample Space Partitions
• The t Copula and Related Copulas
• A Method for Simulating Stable Random Variables
• Asymptotic Statistics
• THE PROBABLE ERROR OF A MEAN
• An extensive power evaluation of a novel two-sample density-based empirical likelihood ratio test for paired data with an application to a treatment study of attention-deficit/hyperactivity disorder and severe mood dysregulation
• A NOTE ON NORMAL CORRELATION
• A Bayesian nonparametric testing procedure for paired samples

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