Testing equality of correlation coefficients in two populations via permutation methods

DOI10.1016/j.jspi.2011.12.018zbMath1242.62036OpenAlexW2132707903WikidataQ61719249 ScholiaQ61719249MaRDI QIDQ434536

J. Herrera, H. S. Yoon

Publication date: 16 July 2012

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2011.12.018

zbMATH Keywords

permutation testscontiguous alternativesPearson correlation coefficientBehrens-Fisher problemtwo-sample testspower of testsStudentized statistics

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Measures of association (correlation, canonical correlation, etc.) (62H20)

Related Items

Multivariate and multiple permutation tests, Permuting longitudinal data in spite of the dependencies, Resampling-based inference methods for comparing two coefficients alpha, Exact and asymptotically robust permutation tests, Bootstrapping and permuting paired \(t\)-test type statistics, Permuting incomplete paired data: a novel exact and asymptotic correct randomization test, Permutation testing for dependence in time series, Randomized empirical processes by algebraic groups, and tests for weak null hypotheses, Bootstrap and permutation rank tests for proportional hazards under right censoring, Inference procedures about population correlations under order restrictions, Parametric and nonparametric bootstrap methods for general MANOVA, Permutation-based inference for the AUC: A unified approach for continuous and discontinuous data

Uses Software

• R
• bootlib

Cites Work

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