Copula-Based Models for the Power of Independence Tests
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Publication:5712004
DOI10.1080/03610920500313742zbMath1076.62059OpenAlexW1970885496MaRDI QIDQ5712004
Emanuel Vespa, Daniele De Martini
Publication date: 22 December 2005
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610920500313742
Estimation in multivariate analysis (62H12) Hypothesis testing in multivariate analysis (62H15) Characterization and structure theory for multivariate probability distributions; copulas (62H05)
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Cites Work
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- Linear rank tests for independence in bivariate distributions-power comparisons by simulation
- On nonparametric measures of dependence for random variables
- The jackknife and bootstrap
- Estimating the Power of the Two-Sample Wilcoxon Test for Location Shift
- Asymptotic efficiency of independence tests based on gini's rank association coefficient, spearman's footrule and their generalizations
- Power estimation for two sample tests using balanced resampling
- Data-Driven Rank Tests for Independence