Data-Driven Rank Tests for Classes of Tail Alternatives

DOI10.1198/016214501753168343zbMath1018.62036OpenAlexW1970753776MaRDI QIDQ4419453

Wilbert C. M. Kallenberg, Willem Albers, Felix Martini

Publication date: 13 August 2003

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://research.utwente.nl/en/publications/data-driven-rank-tests-for-classes-of-tail-alternatives(39eb6629-6f81-403f-8bce-498a359176ef).html

zbMATH Keywords

consistencyMonte Carlo studymodel selectionLegendre polynomialsshift function

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10)

Related Items (12)

Comparing two mixing densities in nonparametric mixture models ⋮ Two-Sample Test Against One-Sided Alternatives ⋮ A two-sample empirical likelihood ratio test based on samples entropy ⋮ 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 ⋮ Efficient and adaptive nonparametric test for the two-sample problem ⋮ Two-sample density-based empirical likelihood tests for incomplete data in application to a pneumonia study ⋮ Detecting positive quadrant dependence and positive function dependence ⋮ Data driven smooth test for paired populations ⋮ A rank-based Cramér-von-Mises-type test for two samples ⋮ Two-sample empirical likelihood ratio tests for medians in application to biomarker evaluations ⋮ A SMOOTH TEST FOR THE EQUALITY OF DISTRIBUTIONS ⋮ Data driven smooth test of comparison for dependent sequences

This page was built for publication: Data-Driven Rank Tests for Classes of Tail Alternatives