A central limit theorem for two-sample U-processes
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Publication:2568327
DOI10.1016/j.spl.2002.12.001zbMath1079.60026OpenAlexW1965795987MaRDI QIDQ2568327
Publication date: 10 October 2005
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2002.12.001
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Cites Work
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- U-processes: Rates of convergence
- Limit theorems for \(U\)-processes
- Maximal inequalities and convergence results for generalized U- statistics
- The almost sure invariance principle for the empirical process of U- statistic structure
- Functional limit theorems for U-processes
- Convergence of reversed martingales with multidimensional indices
- Almost sure convergence of generalized U-statistics
- Central limit theorems for empirical measures
- Weak convergence and Glivenko-Cantelli results for empirical processes of U-statistic structure
- \(U\)-statistic processes: A martingale approach
- Necessary and Sufficient Conditions for the Uniform Convergence of Means to their Expectations
- Un test de type Kolmogorov-Smirnov dans le cadre de comparaison de fonctions de régression
- Comparison of Regression Curves Using Quasi-Residuals
- On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
- Convergence of stochastic processes
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