Central Limit Theorems for ReducedU-Statistics Under Dependence and Their Usefulness
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Publication:2803537
DOI10.1111/anzs.12045zbMath1335.60025OpenAlexW2031631613MaRDI QIDQ2803537
Jeongcheol Ha, Cheolyong Park, Tae Yoon Kim, Sun Young Hwang, Zhi-Ming Luo
Publication date: 2 May 2016
Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/anzs.12045
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Cites Work
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- Central limit theorem for integrated square error of multivariate nonparametric density estimators
- Central limit theorem and the bootstrap for \(U\)-statistics of strongly mixing data
- On the invariance principle for U-statistics
- Comparison of two bandwidth selectors with dependent errors
- Large sample theory for U-statistics and tests of fit
- Reduced U-statistics and the Hodges-Lehmann estimator
- Asymptotic normality for \(U\)-statistics of negatively associated random variables
- The central limit theorem for degenerate variableU-statistics under dependence
- A Simple Estimator of Error Correlation in Non-parametric Regression Models
- ORTHOGONAL EXPANSIONS AND U-STATISTICS
- Some properties of incomplete U-statistics
- Analysis of Financial Time Series
- Asymptotic normality for \(U\)-statistics of associated random variables
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